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sNuFKTMktcY.pdf | 2,022 | 0 | LINEBREAK active hierarchical exploration with stable subgoal representation learning LINEBREAK siyuan li†, jin zhang†, jianhao wang†, yang yu‡, chongjie zhang† †tsinghua university, ‡nanjing university {sy-li17,jin-zhan20,wjh19}@mails.tsinghua.edu.cn {yuy}@lamda.nju.edu.cn, chongjie@tsinghua.edu.cn LINEBREAK abstra... | 10 | [
108,
573.8250784,
504.0037874,
605.7556784
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f2OYVDyfIB.pdf | 2,022 | 2 | LINEBREAK scale efficiently: insights from pre-training and fine-tuning transformers LINEBREAK yi tay∗, mostafa dehghani∗, jinfeng rao, william fedus, samira abnar, hyung won chung, sharan narang, dani yogatama†, ashish vaswani, donald metzler google research & deepmind† {yitay,dehghani}@google.com LINEBREAK abstrac... | 5 | [
108.249,
313.9590784,
430.5163577,
323.9216784
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OjPmfr9GkVv.pdf | 2,022 | 1 | LINEBREAK enhancing cross-lingual transfer by manifold mixup LINEBREAK huiyun yang1, huadong chen1, hao zhou∗ 1, lei li2 1bytedance ai lab 2university of california, santa barbara {yanghuiyun.11,chenhuadong.howard, zhouhao.nlp}@bytedance.com leili@cs.ucsb.edu LINEBREAK abstract LINEBREAK based on large-scale pre-tr... | 6 | [
108.299,
428.3356768,
200.0834953,
440.2908768
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0-EYBhgw80y.pdf | 2,021 | 1 | LINEBREAK mopro: webly supervised learning with momentum prototypes LINEBREAK junnan li, caiming xiong, steven c.h. hoi salesforce research {junnan.li,cxiong,shoi}@salesforce.com LINEBREAK abstract LINEBREAK we propose a webly-supervised representation learning method that does not suffer from the annotation unscal... | 5 | [
108.299,
415.9626768,
237.8999467,
427.9178768
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ZDaSIkWT-AP.pdf | 2,022 | 0 | LINEBREAK case-based reasoning for better generalization in textual reinforcement learning LINEBREAK mattia atzeni ibm research, epfl atz@zurich.ibm.com LINEBREAK shehzaad dhuliawala eth zürich shehzaad.dhuliawala@inf.ethz.ch LINEBREAK keerthiram murugesan ibm research keerthiram.murugesan@ibm.com LINEBREAK mrinma... | 11 | [
108,
412.1240784,
504.0037874,
465.9216784
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jLoC4ez43PZ.pdf | 2,021 | 2 | LINEBREAK graphcodebert: pre-training code representations with data flow LINEBREAK daya guo1∗, shuo ren2∗, shuai lu3∗, zhangyin feng4∗, duyu tang5, shujie liu5, long zhou5, nan duan5, alexey svyatkovskiy6, shengyu fu6, michele tufano6, shao kun deng6, colin clement6, dawn drain6, neel sundaresan6, jian yin1, daxin j... | 4 | [
108.249,
698.0240784,
293.2753174,
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eIHYL6fpbkA.pdf | 2,021 | 0 | LINEBREAK removing undesirable feature contributions using out-of-distribution data LINEBREAK saehyung lee, changhwa park, hyungyu lee, jihun yi, jonghyun lee, sungroh yoon∗ electrical and computer engineering, aiis, asri, inmc, and institute of engineering research seoul national university seoul 08826, south korea ... | 5 | [
195.9747148,
657.4760784,
221.000766,
667.4386784
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7grkzyj89A_.pdf | 2,022 | 0 | LINEBREAK generalization through the lens of leaveone-out error LINEBREAK gregor bachmann a, thomas hofmanna, and aur´elien lucchib LINEBREAK adepartment of computer science, eth z¨urich, switzerland bdepartment of mathematics and computer science, university of basel , {gregor.bachmann, thomas.hofmann}@inf.ethz.ch ... | 3 | [
124.997,
569.2490828,
157.28891028,
580.1268556
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fvLLcIYmXb.pdf | 2,022 | 1 | LINEBREAK as-mlp: an axial shifted mlp architecture for vision LINEBREAK dongze lian∗, zehao yu∗ shanghaitech university {liandz,yuzh}@shanghaitech.edu.cn LINEBREAK xing sun youtu lab, tencent {winfredsun}@tencent.com LINEBREAK shenghua gao† shanghaitech university & shanghai engineering research center of intellig... | 5 | [
108.299,
179.8876768,
200.0834953,
191.8428768
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n-bvaLSCC78.pdf | 2,023 | 0 | LINEBREAK ea-has-bench: energy-aware hyperparameter and architecture search benchmark LINEBREAK shuguang dou1 ∗, xinyang jiang2 †, cairong zhao1 †, dongsheng li2 1 tongji university, 2 microsoft research asia LINEBREAK abstract LINEBREAK the energy consumption for training deep learning models is increasing at an a... | 3 | [
290.555,
67.0600828,
369.90591028,
77.9378556
] |
kBVJ2NtiY-.pdf | 2,021 | 0 | LINEBREAK learning what to do by simulating the past LINEBREAK david lindner∗ department of computer science eth zurich david.lindner@inf.ethz.ch LINEBREAK rohin shah, pieter abbeel & anca dragan center for human-compatible ai uc berkeley {rohinmshah,pabbeel,anca}@berkeley.edu LINEBREAK abstract LINEBREAK since re... | 9 | [
108,
516.4650784,
504.0033874,
526.4276784
] |
cB4N3G5udUS.pdf | 2,023 | 1 | LINEBREAK randprox: primal–dual optimization algorithms with randomized proximal updates LINEBREAK laurent condat & peter richtárik visual computing center king abdullah university of science and technology (kaust) thuwal, kingdom of saudi arabia contact: see https://lcondat.github.io/ LINEBREAK abstract LINEBREAK ... | 0 | [
126.82956,
285.9596768,
205.9888518,
297.9148768
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ORp91sAbzI.pdf | 2,023 | 0 | LINEBREAK leveraging unlabeled data to track memorization LINEBREAK mahsa forouzesh1, hanie sedghi2, patrick thiran1 1école polytechnique fédérale de lausanne 2google research, brain team {mahsa.forouzesh, patrick.thiran}@epfl.ch, hsedghi@google.com LINEBREAK abstract LINEBREAK deep neural networks may easily memor... | 28 | [
130.505,
340.5172576,
293.0389328,
359.4466576
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PqvMRDCJT9t.pdf | 2,023 | 0 | LINEBREAK flow matching for generative modeling LINEBREAK yaron lipman1,2 ricky t. q. chen1 heli ben-hamu2 maximilian nickel1 matt le1 1meta ai (fair) 2weizmann institute of science LINEBREAK abstract LINEBREAK we introduce a new paradigm for generative modeling built on continuous normalizing flows (cnfs), allowin... | 7 | [
108.003,
656.3473036278,
155.448416791,
685.5308527135
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5ECQL05ub0J.pdf | 2,022 | 2 | LINEBREAK resonance in weight space: covariate shift can drive divergence of sgd with momentum LINEBREAK kirby banman1, liam peet-pare2, nidhi hegde1, alona fyshe1, martha white1 department of computing science1, department of mathematical and statistical sciences2 university of alberta edmonton, ab t6g 2e8 {kdbanman... | 6 | [
108.249,
454.6730784,
278.8119848,
464.6356784
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C_PRLz8bEJx.pdf | 2,023 | 0 | LINEBREAK dm-nerf: 3d scene geometry decomposition and manipulation from 2d images LINEBREAK bing wang1,2,3† lu chen1,2† bo yang1,2∗ 1 shenzhen research institute, the hong kong polytechnic university 2 vlar group, the hong kong polytechnic university 3university of oxford bingwang@polyu.edu.hk bo.yang@polyu.edu.hk ... | 9 | [
117.963,
412.7520784,
461.10315,
422.9438182
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fjh7UGQgOB.pdf | 2,023 | 1 | LINEBREAK rethinking graph lottery tickets: graph sparsity matters LINEBREAK bo hui1, da yan2, xiaolong ma3, wei-shinn ku1 1 auburn university 2 the university of alabama at birmingham 3 clemson university LINEBREAK abstract LINEBREAK lottery ticket hypothesis (lth) claims the existence of a winning ticket (i.e., a... | 5 | [
108.299,
224.7606768,
194.1824456,
236.7158768
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tYxG_OMs9WE.pdf | 2,021 | 2 | LINEBREAK property controllable variational autoencoder via invertible mutual dependence LINEBREAK xiaojie guo department of ist george mason university fairfax, va 22030, usa xguo7@gmu.edu LINEBREAK yuanqi du department of cs george mason university fairfax, va 22030, usa ydu6@gmu.edu LINEBREAK ∗ liang zhao depart... | 5 | [
108.249,
312.1260784,
218.7037185,
322.0886784
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lq62uWRJjiY.pdf | 2,023 | 2 | LINEBREAK adaptive budget allocation for parameterefficient fine-tuning LINEBREAK qingru zhang†∗, minshuo chen‡, alexander bukharin†, pengcheng he⋄, yu cheng⋄, weizhu chen⋄ and tuo zhao† †georgia institute of technology ‡princeton university ⋄microsoft azure ai qingru.zhang,abukharin3,tourzhao { mc0750@princeton.edu ... | 5 | [
108.249,
697.3765094,
262.0726564,
707.3391094
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vVJZtlZB9D.pdf | 2,023 | 0 | LINEBREAK a general framework for proving the equivariant strong lottery ticket hypothesis LINEBREAK damien ferbach∗ école normale supérieure, psl, and mila † damien.ferbach@ens.psl.eu LINEBREAK christos tsirigotis ∗ université de montréal and mila LINEBREAK gauthier gidel ‡ université de montréal and mila LINEBRE... | 5 | [
280.035,
405.3552556,
308.56368896,
415.3178556
] |
sPfB2PI87BZ.pdf | 2,022 | 0 | LINEBREAK mapping conditional distributions for domain adaptation under generalized target shift LINEBREAK matthieu kirchmeyer1,2, alain rakotomamonjy2,3, emmanuel de b´ezenac1, patrick gallinari1,2 1cnrs-isir, sorbonne university; 2criteo ai lab; 3universit´e de rouen, litis LINEBREAK abstract LINEBREAK we conside... | 2 | [
108,
59.9860784,
504.0031456,
103.0448556
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9MO7bjoAfIA.pdf | 2,023 | 1 | LINEBREAK self-ensemble protection: training checkpoints are good data protectors LINEBREAK sizhe chen1,2, geng yuan2, xinwen cheng1, yifan gong2, minghai qin2, yanzhi wang2, xiaolin huang1∗ 1department of automation, shanghai jiao tong university 2department of electrical and computer engineering, northeastern unive... | 2 | [
108.299,
520.3136768,
251.7200712,
532.2688768
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Yz-XtK5RBxB.pdf | 2,021 | 2 | LINEBREAK deep repulsive clustering of ordered data based on order-identity decomposition LINEBREAK seon-ho lee and chang-su kim school of electrical engineering, korea university seonholee@mcl.korea.ac.kr, changsukim@korea.ac.kr LINEBREAK abstract LINEBREAK we propose the deep repulsive clustering (drc) algorithm ... | 8 | [
108.249,
525.1970784,
323.9564711,
535.1596784
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F0KTk2plQzO.pdf | 2,023 | 1 | LINEBREAK accelerating guided diffusion sampling with splitting numerical methods LINEBREAK suttisak wizadwongsa, supasorn suwajanakorn vistec, thailand {suttisak.w s19, supasorn.s}@vistec.ac.th LINEBREAK abstract LINEBREAK guided diffusion is a technique for conditioning the output of a diffusion model at sampling... | 4 | [
108.299,
264.0016768,
200.0834953,
275.9568768
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VLgmhQDVBV.pdf | 2,022 | 0 | LINEBREAK implicit bias of mse gradient optimization in underparameterized neural networks LINEBREAK benjamin bowman ucla departments of mathematics benbowman314@math.ucla.edu LINEBREAK guido mont ´ufar ucla departments of mathematics and statistics and mpi mis montufar@math.ucla.edu LINEBREAK abstract LINEBREAK w... | 46 | [
108,
119.4392556,
503.9999,
155.5358828
] |
PrzjugOsDeE.pdf | 2,021 | 0 | LINEBREAK ccgan: continuous conditional generative adversarial networks for image generation LINEBREAK xin ding∗, yongwei wang∗, zuheng xu, william j. welch, z. jane wang, the university of british columbia {xin.ding@stat, yongweiw@ece, zuheng.xu@stat, will@stat, zjanew@ece}.ubc.ca LINEBREAK abstract LINEBREAK this... | 18 | [
422.67,
535.5110828,
447.49152056,
547.6708556
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8KYeilT3Ow.pdf | 2,023 | 0 | LINEBREAK nagphormer: a tokenized graph transformer for node classification in large graphs LINEBREAK jinsong chen1,2,3,∗, kaiyuan gao2,3,∗, gaichao li1,2,3, kun he2,3,† 1institute of artificial intelligence, huazhong university of science and technology 2school of computer science and technology, huazhong university... | 5 | [
107.502,
604.3750784,
505.93291028,
708.2058556
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sAJDi9lD06L.pdf | 2,023 | 1 | LINEBREAK holistic adversarially robust pruning LINEBREAK qi zhao and christian wressnegger kastel security research labs, karlsruhe institute of technology, germany LINEBREAK abstract LINEBREAK neural networks can be drastically shrunk in size by removing redundant parameters. while crucial for the deployment on r... | 3 | [
108.299,
137.1895888,
193.0156254,
149.1447888
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oj2yn1Q4Ett.pdf | 2,022 | 1 | LINEBREAK decentralized learning for overparameterized problems: a multi-agent kernel approximation approach LINEBREAK prashant khanduri†‡, haibo yang‡, mingyi hong†, jia liu‡, hoi-to wai , sijia liu⇧⇤ †university of minnesota, ‡the ohio state university, cuhk, ⇧michigan state university, ⇤mit-ibm watson ai lab, ibm... | 2 | [
108.299,
580.0685888,
241.1173916,
606.953504
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Rhsu5qD36cL.pdf | 2,021 | 1 | LINEBREAK sequential density ratio estimation for simultaneous optimization of speed and accuracy LINEBREAK akinori f. ebihara1 1nec corporation 2riken center for advanced intelligence project (aip) aebihara@nec.com LINEBREAK taiki miyagawa1,2 LINEBREAK kazuyuki sakurai1 LINEBREAK hitoshi imaoka1 LINEBREAK abstra... | 5 | [
108.299,
310.0406768,
273.2488603,
321.9958768
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Jnspzp-oIZE.pdf | 2,021 | 0 | LINEBREAK gauge equivariant mesh cnns anisotropic convolutions on geometric graphs LINEBREAK pim de haan∗ qualcomm ai research† university of amsterdam LINEBREAK maurice weiler∗ quva lab university of amsterdam LINEBREAK taco cohen qualcomm ai research LINEBREAK max welling qualcomm ai research university of amste... | 1 | [
107.641,
483.8270784,
505.7467626992,
625.5258182
] |
k8_yVW3Wqln.pdf | 2,023 | 0 | LINEBREAK systematic rectification of language models via dead-end analysis LINEBREAK meng cao∗,†,1, mehdi fatemi∗,2, jackie chi kit cheung1, samira shabanian2 1mila – qu´ebec ai institute & mcgill university 2microsoft research meng.cao@mail.mcgill.ca, mehdi.fatemi@ieee.org jcheung@cs.mcgill.ca, s.shabanian@gmail.co... | 20 | [
123.334,
326.5404758,
156.5922754,
351.0482758
] |
KBQP4A_J1K.pdf | 2,022 | 0 | LINEBREAK the neural data router: adaptive control flow in transformers improves systematic generalization LINEBREAK r´obert csord´as1 kazuki irie1 j ¨urgen schmidhuber1,2 1the swiss ai lab, idsia, university of lugano (usi) & supsi, lugano, switzerland 2king abdullah university of science and technology (kaust), thu... | 13 | [
185.858,
470.6288384,
205.6915088,
480.1429184
] |
A7v2DqLjZdq.pdf | 2,023 | 2 | LINEBREAK bridge the inference gaps of neural processes via expectation maximization LINEBREAK qi wang ∗, marco federici, herke van hoof amlab, university of amsterdam, 1098xh, amsterdam, the netherlands hhq123go@gmail.com, m.federici@uva.nl, h.c.vanhoof@uva.nl LINEBREAK abstract LINEBREAK the neural process (np) i... | 6 | [
108.249,
533.4580784,
239.3698093,
543.4206784
] |
H0syOoy3Ash.pdf | 2,021 | 2 | LINEBREAK average-case acceleration games and normal matrices LINEBREAK for bilinear LINEBREAK fabian pedregosa google research pedregosa@google.com LINEBREAK carles domingo-enrich computer science department courant institute of mathematical sciences new york university new york, ny 10012, usa cd2754@nyu.edu LINE... | 4 | [
108.249,
198.5770784,
339.7897433,
208.7588556
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VFBjuF8HEp.pdf | 2,022 | 2 | LINEBREAK learning fast samplers for diffusion models by differentiating through sample quality LINEBREAK daniel watson∗, william chan, jonathan ho & mohammad norouzi google research, brain team {watsondaniel,williamchan,jonathanho,mnorouzi}@google.com LINEBREAK abstract LINEBREAK diffusion models have emerged as a... | 5 | [
132.15924,
458.1650784,
348.8324607,
468.1276784
] |
5OygDd-4Eeh.pdf | 2,023 | 2 | LINEBREAK an additive instance-wise approach to multiclass model interpretation LINEBREAK vy vo1 van nguyen1 trung le1 quan hung tran2 gholamreza haffari1 seyit camtepe3 dinh phung1,4 1monash university, australia 2adobe research, usa 3csiro’s data61, australia 4vinai research, vietnam LINEBREAK abstract LINEBREAK ... | 2 | [
108.249,
163.1990784,
231.1357361,
173.1616784
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6Q52pZ-Th7N.pdf | 2,022 | 2 | LINEBREAK pseudo-labeled auto-curriculum learning for semi-supervised keypoint localization LINEBREAK can wang1 LINEBREAK sheng jin2,1 yingda guan1 wentao liu1∗ chen qian1 LINEBREAK ping luo2 wanli ouyang3 LINEBREAK 1sensetime research and tetras.ai {wangcan, jinsheng}@tetras.ai LINEBREAK 2the university of hong ... | 2 | [
108.249,
356.7030784,
178.45549,
366.6656784
] |
H-iABMvzIc.pdf | 2,022 | 2 | LINEBREAK switch to generalize: domain-switch learning for cross-domain few-shot classification LINEBREAK zhengdong hu1,2∗, yifan sun2, yi yang3 † 1 state key laboratory of industrial control technology, zhejiang university 2 baidu research, china 3 ccai, college of computer science and technology, zhejiang universit... | 7 | [
108.249,
103.6650784,
216.6954963,
113.6276784
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TJ2nxciYCk-.pdf | 2,023 | 2 | LINEBREAK the lazy neuron phenomenon: on emergence of activation sparsity in transformers LINEBREAK zonglin li∗, chong you∗, srinadh bhojanapalli, daliang li, ankit singh rawat, sashank j. reddi, ke ye, felix chern, felix yu, ruiqi guo, and sanjiv kumar google research, new york city, usa {lizonglin,cyou,bsrinadh,dal... | 5 | [
108.249,
237.5850784,
352.1592352,
247.7668556
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hpH98mK5Puk.pdf | 2,021 | 0 | LINEBREAK infobert: improving robustness of language models from an information theoretic perspective LINEBREAK ∗boxin wang1, shuohang wang2, yu cheng2, zhe gan2, ruoxi jia3, bo li1, jingjing liu2 1university of illinois at urbana-champaign 2 microsoft dynamics 365 ai research 3 virginia tech {boxinw2,lbo}@illinois.e... | 18 | [
191.944,
372.5052556,
209.94645514,
382.4678556
] |
0sgntlpKDOz.pdf | 2,022 | 0 | LINEBREAK learning graphon mean field games and approximate nash equilibria LINEBREAK kai cui & heinz koeppl department of electrical engineering, technische universität darmstadt, germany {kai.cui,heinz.koeppl}@bcs.tu-darmstadt.de LINEBREAK abstract LINEBREAK recent advances at the intersection of dense large grap... | 20 | [
298.511,
272.06135,
308.07945514,
282.02395
] |
SaKO6z6Hl0c.pdf | 2,022 | 0 | LINEBREAK unsupervised semantic segmentation by distilling feature correspondences LINEBREAK mark hamilton mit, microsoft markth@mit.edu LINEBREAK zhoutong zhang mit LINEBREAK bharath hariharan cornell university LINEBREAK noah snavely cornell university, google LINEBREAK william t. freeman mit, google LINEBREAK... | 11 | [
108,
472.4580784,
504.0037874,
515.2976784
] |
nRj0NcmSuxb.pdf | 2,022 | 1 | LINEBREAK faircal: fairness calibration for face verification LINEBREAK tiago salvador1,3, stephanie cairns1,3, vikram voleti2,3, noah marshall1,3, adam oberman1,3 1 mcgill university 1,3{tiago.saldanhasalvador,stephanie.cairns,noah.marshall2}@mail.mcgill.ca 2,3 vikram.voleti@gmail.com, 1,3 adam.oberman@mcgill.ca LI... | 2 | [
108.299,
468.7686768,
208.9393649,
480.7238768
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TBIzh9b5eaz.pdf | 2,021 | 2 | LINEBREAK risk-averse offline reinforcement learning LINEBREAK n ´uria armengol urp´ı dept. of computer science eth zurich narmengolurpi@gmail.com LINEBREAK sebastian curi dept. of computer science eth zurich scuri@inf.ethz.ch LINEBREAK andreas krause dept. of computer science eth zurich krausea@ethz.ch LINEBREAK ... | 4 | [
108.249,
403.9825094,
214.6113009,
413.9451094
] |
AUGBfDIV9rL.pdf | 2,022 | 2 | LINEBREAK emergent communication at scale LINEBREAK rahma chaabouni∗, florian strub∗, florent altch´e , corentin tallec , eugene trassov , elnaz davoodi , kory mathewson , olivier tieleman , angeliki lazaridou , bilal piot LINEBREAK deepmind LINEBREAK abstract LINEBREAK emergent communication aims for a better und... | 2 | [
108.249,
626.1060784,
311.6381223,
636.0686784
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BGvt0ghNgA.pdf | 2,022 | 2 | LINEBREAK lipschitz-constrained unsupervised skill discovery LINEBREAK seohong park1 1seoul national university 2university of michigan 3lg ai research LINEBREAK jongwook choi∗ LINEBREAK jaekyeom kim∗ LINEBREAK 1 honglak lee2,3 gunhee kim1 LINEBREAK artberryx,jaekyeom,gunhee { jwook,honglak { LINEBREAK @umich.ed... | 1 | [
108.249,
147.5690784,
213.7968518,
157.5316784
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WL8FlAugqQ.pdf | 2,023 | 0 | LINEBREAK neural dag scheduling via one-shot priority sampling LINEBREAK wonseok jeon∗, mukul gagrani∗, burak bartan, weiliang will zeng, harris teague piero zappi, christopher lott qualcomm ai research† LINEBREAK abstract LINEBREAK we consider the problem of scheduling operations/nodes, the dependency among which ... | 4 | [
108,
535.5090784,
505.74304715,
635.1918556
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_i3ASPp12WS.pdf | 2,021 | 2 | LINEBREAK online adversarial purification based on self-supervised learning LINEBREAK changhao shi1, chester holtz2 & gal mishne1,2,3 1department of electrical and computer engineering, 2department of computer science and engineering, 3the halıcıo˘glu data science institute university of california, san diego {cshi,c... | 2 | [
108.249,
326.7040784,
309.7177232,
336.6666784
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JFKR3WqwyXR.pdf | 2,021 | 1 | LINEBREAK neural jump ordinary differential equations: consistent continuous-time prediction and filtering LINEBREAK calypso herrera department of mathematics, eth zurich, switzerland {firstname.lastname}@math.ethz.ch LINEBREAK florian krach LINEBREAK josef teichmann LINEBREAK abstract LINEBREAK combinations of n... | 1 | [
108.299,
480.6606768,
239.6903563,
492.6158768
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vVjIW3sEc1s.pdf | 2,021 | 1 | LINEBREAK a mathematical exploration of why language models help solve downstream tasks LINEBREAK nikunj saunshi, sadhika malladi & sanjeev arora princeton university {nsaunshi,smalladi,arora}@cs.princeton.edu LINEBREAK abstract LINEBREAK autoregressive language models, pretrained using large text corpora to do wel... | 4 | [
108.299,
289.0506768,
431.2453824,
301.0058768
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tFgdrQbbaa.pdf | 2,022 | 0 | LINEBREAK learning curves for continual learning in neural networks: self-knowledge transfer and forgetting LINEBREAK ryo karakida & shotaro akaho national institute of advanced industrial science and technology (aist), japan {karakida.ryo,s.akaho}@aist.go.jp LINEBREAK abstract LINEBREAK sequential training from ta... | 24 | [
108,
677.5010784,
190.5130394,
688.8888828
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H0oaWl6THa.pdf | 2,022 | 0 | LINEBREAK hybrid local sgd for federated learning with heterogeneous communications LINEBREAK yuanxiong guo the university of texas at san antonio san antonio, texas 78249 usa yuanxiong.guo@utsa.edu LINEBREAK ying sun pennsylvania state university state college, pa 16801 usa ysun@psu.edu LINEBREAK rui hu & yanmin g... | 17 | [
231.736,
226.6410828,
279.9145791,
241.6588556
] |
6OphWWAE3cS.pdf | 2,023 | 1 | LINEBREAK particle-based variational inference with preconditioned functional gradient flow LINEBREAK hanze dong⋆, xi wang‡, yong lin†, tong zhang⋆† ⋆ department of mathematics, hkust † department of computer science and engineering, hkust ‡ college of information and computer science, umass amherst LINEBREAK abstra... | 5 | [
108.299,
375.6116768,
194.1824456,
387.5668768
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OxNQXyZK-K8.pdf | 2,023 | 1 | LINEBREAK boosting multiagent reinforcement learning via permutation invariant and permutation equivariant networks LINEBREAK jianye hao1 2, xiaotian hao1, hangyu mao2, weixun wang1, yaodong yang3, dong li2, yan zheng1, zhen wang4 1college of intelligence and computing, tianjin university, 2noah’s ark lab, huawei 3th... | 0 | [
126.82956,
282.1966768,
205.9888518,
294.1518768
] |
9ITXiTrAoT.pdf | 2,021 | 1 | LINEBREAK multi-timescale representation learning in lstm language models LINEBREAK shivangi mahto∗ department of computer science the university of texas at austin austin, tx, usa shivangi@utexas.edu LINEBREAK javier s. turek brain-inspired computing lab intel labs hillsboro, or, usa javier.turek@intel.com LINEBRE... | 0 | [
126.82956,
250.1666768,
205.9888518,
262.1218768
] |
6iEoTr-jeB7.pdf | 2,023 | 1 | LINEBREAK learning continuous normalizing flows for faster convergence to target distribution via ascent regularizations LINEBREAK shuangshuang chen1,2 sihao ding2 yiannis karayiannidis3 mårten björkman1 1 school of electrical engineering and computer science, royal institute of technology 2 ai lab, volvo car corpora... | 4 | [
108.299,
458.0856768,
499.5925538,
470.0408768
] |
1_OGWcP1s9w.pdf | 2,023 | 1 | LINEBREAK learning fair graph representations via automated data augmentations LINEBREAK hongyi ling, zhimeng jiang, youzhi luo, shuiwang ji∗, na zou∗ texas a&m university college station, tx 77843, usa {hongyiling,zhimengj,yzluo,sji,nzou1}@tamu.edu LINEBREAK abstract LINEBREAK we consider fair graph representation... | 6 | [
108.299,
463.1206768,
200.0834953,
475.0758768
] |
0g0X4H8yN4I.pdf | 2,023 | 0 | LINEBREAK what learning algorithm is in-context learning? investigations with linear models LINEBREAK ekin aky ¨urek1,2,a. dale schuurmans1 LINEBREAK jacob andreas∗2 tengyu ma∗1,3,b denny zhou∗1 LINEBREAK 1google research LINEBREAK 2mit csail LINEBREAK 3 stanford university LINEBREAK ∗collaborative advising LIN... | 14 | [
108.299,
328.6166768,
189.6176,
340.5718768
] |
XXTyv1zD9zD.pdf | 2,023 | 2 | LINEBREAK packed-ensembles for efficient uncertainty estimation LINEBREAK olivier laurent,1,2,* adrien lafage,2,* enzo tartaglione,3 geoffrey daniel,1 jean-marc martinez,1 andrei bursuc4 & gianni franchi2, † LINEBREAK universit´e paris-saclay, cea, sgls,1 u2is, ensta paris, institut polytechnique de paris,2 ltci, t´... | 4 | [
132.15924,
340.2390784,
247.2774465,
350.2016784
] |
3k5CUGDLNdd.pdf | 2,023 | 0 | LINEBREAK benchmarking offline reinforcement learning on real-robot hardware LINEBREAK nico gürtler1, sebastian blaes1, pavel kolev1, felix widmaier1, manuel wüthrich2, stefan bauer3, bernhard schölkopf 1, and georg martius1 LINEBREAK 1max planck institute for intelligent systems∗ 2harvard university 3kth stockholm ... | 22 | [
138.942,
495.2070784,
184.8795486,
505.1696784
] |
e42KbIw6Wb.pdf | 2,022 | 2 | LINEBREAK pix2seq: a language modeling framework for object detection LINEBREAK ting chen, saurabh saxena, lala li, david j. fleet, geoffrey hinton google research, brain team LINEBREAK abstract LINEBREAK we present pix2seq, a simple and generic framework for object detection. unlike existing approaches that explic... | 3 | [
108.249,
698.0240784,
325.5131575,
707.9866784
] |
n6jl7fLxrP.pdf | 2,021 | 0 | LINEBREAK adaptive universal generalized pagerank graph neural network LINEBREAK eli chien & jianhao peng∗ department of electrical and computer engineering university of illinois urbana-champaign, usa {ichien3,jianhao2}@illinois.edu LINEBREAK pan li department of computer science purdue university, usa panli@purdue... | 15 | [
108,
394.0040828,
504.0014638,
421.4838556
] |
6ve2CkeQe5S.pdf | 2,023 | 2 | LINEBREAK medfair: benchmarking fairness for medical imaging LINEBREAK yongshuo zong1, yongxin yang1, timothy hospedales1,2 1 school of informatics, university of edinburgh, 2 samsung ai centre, cambridge {yongshuo.zong, yongxin.yang, t.hospedales}@ed.ac.uk LINEBREAK abstract LINEBREAK a multitude of work has shown... | 5 | [
108.249,
578.6280784,
215.6479619,
588.5906784
] |
UseMOjWENv.pdf | 2,022 | 1 | LINEBREAK midi-ddsp: detailed control of musical performance via hierarchical modeling LINEBREAK yusong wu1, ethan manilow2,4, yi deng3, rigel swavely4, kyle kastner1, tim cooijmans1, aaron courville1, cheng-zhi anna huang∗1,4 , jesse engel∗4 ∗ equal contribution 1mila, quebec artificial intelligence institute, unive... | 5 | [
108.299,
239.6986768,
200.0834953,
251.6538768
] |
b9PoimzZFJ.pdf | 2,021 | 0 | LINEBREAK systematic generalisation with group invariant predictions LINEBREAK faruk ahmed1∗, yoshua bengio1,2, harm van seijen3, aaron courville1,2 1 université de montréal, mila, 2cifar fellow, 3microsoft research LINEBREAK abstract LINEBREAK we consider situations where the presence of dominant simpler correlati... | 8 | [
124.62,
616.9072576,
169.6940928,
625.8736576
] |
5cFfz6yMVPU.pdf | 2,023 | 1 | LINEBREAK -gnn: incorporating ring priors LINEBREAK o into molecular modeling∗ LINEBREAK 1jinhua zhu, 1kehan wu, 1bohan wang, 2yingce xia, 3shufang xie, 2qi meng, 2lijun wu, 2tao qin, 1wengang zhou, 1houqiang li, 2tie-yan liu 1university of science and technology of china, 2microsoft research ai4science 3gaoling sch... | 8 | [
108.299,
200.8936768,
304.9533648,
212.8488768
] |
h0de3QWtGG.pdf | 2,021 | 0 | LINEBREAK learning "what-if" explanations for sequential decision-making LINEBREAK ioana bica university of oxford, oxford, uk the alan turing institute, london, uk ioana.bica@eng.ox.ac.uk LINEBREAK alihan hüyük university of cambridge, cambridge, uk ah2075@cam.ac.uk LINEBREAK daniel jarrett university of cambridge... | 15 | [
212.936,
401.58055,
349.40039486,
412.28995
] |
Qaw16njk6L.pdf | 2,022 | 2 | LINEBREAK nasvit: neural architecture search for efficient vision transformers with gradient conflict-aware supernet training LINEBREAK chengyue gong2∗, dilin wang1, meng li1, xinlei chen1, zhicheng yan1, yuandong tian1, qiang liu2, vikas chandra1 1 meta reality labs {wdilin, meng.li, xinleic, zyan3, yuandong, vchand... | 6 | [
108.249,
114.4860784,
247.7570989,
124.4486784
] |
chDrutUTs0K.pdf | 2,023 | 2 | LINEBREAK popgym: benchmarking partially observable reinforcement learning LINEBREAK steven morad, ryan kortvelesy, matteo bettini, stephan liwicki, amanda prorok LINEBREAK abstract LINEBREAK real world applications of reinforcement learning (rl) are often partially observable, thus requiring memory. despite this, ... | 3 | [
108.249,
510.1390784,
273.5025893,
520.1016784
] |
xYlJRpzZtsY.pdf | 2,023 | 0 | LINEBREAK roscoe: a suite of metrics for scoring step-bystep reasoning LINEBREAK olga golovneva, moya chen, spencer poff, martin corredor, luke zettlemoyer, maryam fazel-zarandi, asli celikyilmaz meta ai research {olggol, mpchen, spoff, mcorredor, lsz, maryamfazel, aslic}@meta.com LINEBREAK abstract LINEBREAK large... | 53 | [
98.32136,
602.575120368,
264.7517933168,
635.560842368
] |
Cs3r5KLdoj.pdf | 2,023 | 2 | LINEBREAK learning mlps on graphs: a unified view of effectiveness, robustness, and efficiency LINEBREAK yijun tian1, chuxu zhang2, zhichun guo1, xiangliang zhang1, nitesh v. chawla1 1university of notre dame, 2brandeis university yijun.tian@nd.edu, chuxuzhang@brandeis.edu, zguo5@nd.edu, xzhang33@nd.edu, nchawla@nd.e... | 6 | [
108.249,
124.5980784,
442.0473944,
134.5606784
] |
0IO5VdnSAaH.pdf | 2,021 | 0 | LINEBREAK on the universality of the double descent peak in ridgeless regression LINEBREAK david holzmüller university of stuttgart faculty of mathematics and physics institute for stochastics and applications david.holzmueller@mathematik.uni-stuttgart.de LINEBREAK abstract LINEBREAK we prove a non-asymptotic distr... | 6 | [
221.869,
410.13835,
425.99661028,
422.31535
] |
3k5CUGDLNdd.pdf | 2,023 | 1 | LINEBREAK benchmarking offline reinforcement learning on real-robot hardware LINEBREAK nico gürtler1, sebastian blaes1, pavel kolev1, felix widmaier1, manuel wüthrich2, stefan bauer3, bernhard schölkopf 1, and georg martius1 LINEBREAK 1max planck institute for intelligent systems∗ 2harvard university 3kth stockholm ... | 1 | [
108.299,
220.0206768,
268.1118076,
231.9758768
] |
Ig53hpHxS4.pdf | 2,021 | 2 | LINEBREAK flowtron: an autoregressive flow-based generative network for text-to-speech synthesis LINEBREAK rafael valle, kevin j. shih, ryan prenger & bryan catanzaro nvidia rafaelvalle@nvidia.com LINEBREAK abstract LINEBREAK in this paper we propose flowtron: an autoregressive flow-based generative network for tex... | 7 | [
108.249,
141.4330784,
288.6511475,
151.3956784
] |
kEnBH98BGs5.pdf | 2,021 | 1 | LINEBREAK estimating informativeness of samples with smooth unique information LINEBREAK hrayr harutyunyan1,2∗, alessandro achille1, giovanni paolini1, orchid majumder1, avinash ravichandran1, rahul bhotika1, stefano soatto1 1 amazon web services, 2 usc information sciences institute hrayrhar@usc.edu, {aachille, paol... | 6 | [
108.299,
358.3096768,
200.0834953,
370.2648768
] |
dPs6BGO2QT0.pdf | 2,023 | 0 | LINEBREAK learning locality and isotropy in dialogue modeling LINEBREAK han wu1,2, haochen tan1,2, mingjie zhan3, gangming zhao3, shaoqing lu3, ding liang3, linqi song1,2,∗ 1department of computer science, city university of hong kong 2city university of hong kong shenzhen research institute 3sensetime research {hanw... | 5 | [
157.1970696,
695.3298112,
176.4130944,
701.5066112
] |
JjCAdMUlu9v.pdf | 2,023 | 1 | LINEBREAK auto-encoding goodness of fit LINEBREAK aaron palmer1, zhiyi chi2, derek aguiar1, jinbo bi1 1department of computer science, 2department of statistics {aaron.palmer,zhiyi.chi,derek.aguiar,jinbo.bi}@uconn.edu university of connecticut, storrs, ct, usa LINEBREAK abstract LINEBREAK we develop a new type of g... | 0 | [
126.82956,
390.8736768,
205.9888518,
402.8288768
] |
GQjaI9mLet.pdf | 2,022 | 0 | LINEBREAK independent se(3)-equivariant models for end-to-end rigid protein docking LINEBREAK octavian-eugen ganea†∗ mit LINEBREAK xinyuan huang§∗ eth zurich LINEBREAK charlotte bunne eth zurich LINEBREAK yatao bian† tencent ai lab LINEBREAK regina barzilay mit LINEBREAK tommi jaakkola mit LINEBREAK andreas kra... | 1 | [
107.532,
142.6760784,
504.830482452,
218.4624166
] |
zq1iJkNk3uN.pdf | 2,022 | 2 | LINEBREAK supervision exists everywhere: a data efficient contrastive language-image pre-training paradigm LINEBREAK yangguang li ∗ 1,, feng liang∗ 2, lichen zhao∗ 1, yufeng cui1, wanli ouyang3, jing shao1, fengwei yu1, junjie yan1 1sensetime research 2the university of texas at austin 3university of sydney {liyanggu... | 2 | [
108.249,
585.5230784,
231.0813068,
595.4856784
] |
E01k9048soZ.pdf | 2,023 | 2 | LINEBREAK unified-io: a unified model for vision, language, and multi-modal tasks LINEBREAK jiasen lu†∗, christopher clark†∗, rowan zellers†⋄, LINEBREAK roozbeh mottaghi†⋄, aniruddha kembhavi†⋄ LINEBREAK †allen institute for ai, ⋄university of washington, seattle LINEBREAK abstract LINEBREAK we propose unified-io... | 4 | [
108.249,
347.5130784,
238.4285706,
357.4756784
] |
elDEe8LYW7-.pdf | 2,023 | 0 | LINEBREAK nansy++: unified voice synthesis with neural analysis and synthesis LINEBREAK hyeong-seok choi1,2, *jinhyeok yang2, *juheon lee1,2, *hyeongju kim2 1seoul national university 2supertone, inc., {kekepa15,yangyangii,juheon2,hyeongju}@supertone.ai LINEBREAK abstract LINEBREAK various applications of voice syn... | 0 | [
124.139,
60.2012576,
195.4398128,
69.1676576
] |
RQLLzMCefQu.pdf | 2,022 | 0 | LINEBREAK provable rl with exogenous distractors via multistep inverse dynamics LINEBREAK yonathan efroni1, dipendra misra1, akshay krishnamurthy1, alekh agarwal2 1microsoft research, new york, ny 2google LINEBREAK †, john langford1 LINEBREAK abstract LINEBREAK many real-world applications of reinforcement learnin... | 6 | [
132.907,
152.472904,
226.37719792,
170.88235
] |
FLA55mBee6Q.pdf | 2,022 | 1 | LINEBREAK coptidice: offline constrained reinforcement learning via stationary distribution correction estimation LINEBREAK jongmin lee1∗, cosmin paduraru2, daniel j. mankowitz2, nicolas heess2, doina precup2, kee-eung kim1, arthur guez2 1kaist, 2deepmind LINEBREAK abstract LINEBREAK we consider the offline constra... | 6 | [
108.299,
610.9236768,
200.0834953,
622.8788768
] |
TUBpc5rqGA.pdf | 2,023 | 2 | LINEBREAK neural design for genetic perturbation experiments LINEBREAK aldo pacchiano microsoft research nyc apacchiano@microsoft.com LINEBREAK drausin wulsin & robert a. barton & luis voloch immunai {drausin,robert.barton,luis}@immunai.com LINEBREAK abstract LINEBREAK the problem of how to genetically modify cell... | 4 | [
108.249,
556.5580784,
305.92945304,
566.7398556
] |
9r30XCjf5Dt.pdf | 2,021 | 2 | LINEBREAK vulnerability-aware poisoning mechanism for online rl with unknown dynamics LINEBREAK da huo2 LINEBREAK yanchao sun1 1,3 department of computer science, university of maryland, college park, md 20742, usa 2 shanghai jiao tong university, china 1ycs@umd.edu, 2sjtuhuoda@sjtu.edu.cn, 3furongh@umd.edu LINEBRE... | 5 | [
108.249,
698.0240784,
384.1130309,
707.9866784
] |
ECuvULjFQia.pdf | 2,021 | 2 | LINEBREAK a teacher-student framework to distill future trajectories LINEBREAK alexander neitz1, * giambattista parascandolo1, 2, * bernhard schölkopf1, 2 1mpi for intelligent systems, tübingen, ∗equal contribution LINEBREAK 2eth, zürich, LINEBREAK abstract LINEBREAK by learning to predict trajectories of dynamica... | 6 | [
108.249,
338.1440784,
171.2784122,
348.1066784
] |
MIDckA56aD.pdf | 2,021 | 0 | LINEBREAK learning perturbation sets for robust machine learning LINEBREAK eric wong computer science and artificial intelligence laboratory massachusetts institute of technology cambridge, ma 02139, usa wongeric@mit.edu LINEBREAK j. zico kolter computer science department carnegie mellon university and bosch center... | 3 | [
107.641,
569.9290828,
465.45465,
580.8068556
] |
xtbog7cfsr.pdf | 2,023 | 0 | LINEBREAK the implicit bias of minima stability in multivariate shallow relu networks LINEBREAK mor shpigel nacson∗ & rotem mulayoff∗ electrical & computer engineering, technion LINEBREAK tomer michaeli & daniel soudry electrical & computer engineering, technion LINEBREAK greg ongie mathematical and statistical sci... | 13 | [
371.22,
130.0300828,
390.11492164,
137.0038828
] |
qFVVBzXxR2V.pdf | 2,023 | 2 | LINEBREAK language models are greedy reasoners: a systematic formal analysis of chain-ofthought LINEBREAK abulhair saparov & he he center for data science, new york university, new york, ny 10011, usa {as17582,hhe}@nyu.edu LINEBREAK abstract LINEBREAK large language models (llms) have shown remarkable reasoning cap... | 5 | [
108.249,
99.2340784,
245.0999513,
109.1966784
] |
3PN4iyXBeF.pdf | 2,022 | 2 | LINEBREAK amortized implicit differentiation for stochastic bilevel optimization LINEBREAK michael arbel & julien mairal univ. grenoble alpes, inria, cnrs, grenoble inp, ljk, 38000 grenoble, france. LINEBREAK abstract LINEBREAK we study a class of algorithms for solving bilevel optimization problems in both stochas... | 7 | [
108.249,
91.4680784,
282.0944766,
101.4306784
] |
D6nH3719vZy.pdf | 2,022 | 0 | LINEBREAK on improving adversarial transferability of vision transformers LINEBREAK muzammal naseer§† kanchana ranasinghe◦ fahad shahbaz khan§‡ †australian national university, ◦stony brook university, §mohamed bin zayed university of ai, ∇qualcomm usa muzammal.naseer@anu.edu.au LINEBREAK fatih porikli∇ LINEBREAK s... | 13 | [
111.891,
121.8160784,
168.5084558,
131.7786784
] |
dqnNW2omZL6.pdf | 2,023 | 0 | LINEBREAK graph neural networks are inherently good generalizers: insights by bridging gnns and mlps LINEBREAK chenxiao yang, qitian wu, jiahua wang & junchi yan∗ department of cse & moe key lab of artificial intelligence, shanghai jiao tong university {chr26195,echo740,wangjiahua2001,yanjunchi}@sjtu.edu.cn LINEBREA... | 19 | [
403.39,
654.32744,
436.30345514,
667.7766
] |
0aW6lYOYB7d.pdf | 2,021 | 1 | LINEBREAK large-width functional asymptotics for deep gaussian neural networks LINEBREAK daniele bracale1, stefano favaro1,2, sandra fortini3, stefano peluchetti4 1 university of torino, 2 collegio carlo alberto, 3 bocconi university, 4 cogent labs LINEBREAK abstract LINEBREAK in this paper, we consider fully-conne... | 1 | [
108.299,
221.0426768,
171.5461438,
232.9978768
] |
tUMr0Iox8XW.pdf | 2,022 | 0 | LINEBREAK efficient computation of deep nonlinear ∞width neural networks that learn features LINEBREAK greg yang ∗ microsoft LINEBREAK michael santacroce microsoft LINEBREAK edward j. hu microsoft LINEBREAK abstract LINEBREAK while a popular limit of infinite-width neural networks, the neural tangent kernel (ntk)... | 23 | [
108,
521.1690784,
256.0940394,
531.3508556
] |
PpshD0AXfA.pdf | 2,021 | 1 | LINEBREAK generative time-series modeling with fourier flows LINEBREAK ahmed m. alaa university of california, los angeles, usa ahmedmalaa@ucla.edu LINEBREAK alex j. chan university of cambridge, uk ajc340@cam.ac.uk LINEBREAK mihaela van der schaar university of cambridge, uk university of california, los angeles, ... | 6 | [
108.299,
345.9916768,
200.0834953,
357.9468768
] |
p6jsTidUkPx.pdf | 2,023 | 0 | LINEBREAK quantile risk control: a flexible framework for bounding the probability of highloss predictions LINEBREAK jake c. snell∗ princeton university js2523@princeton.edu LINEBREAK thomas p. zollo columbia university tpz2105@columbia.edu LINEBREAK zhun deng columbia university zd2322@columbia.edu LINEBREAK toni... | 14 | [
108,
81.3642556,
230.61791028,
91.3368182
] |
4UldFtZ_CVF.pdf | 2,023 | 1 | LINEBREAK joint edge-model sparse learning is provably efficient for graph neural networks LINEBREAK shuai zhang rensselaer polytechnic institute zhangs29@rpi.edu LINEBREAK meng wang rensselaer polytechnic institute wangm7@rpi.edu LINEBREAK pin-yu chen ibm research pin-yu.chen@ibm.com LINEBREAK sijia liu michigan ... | 1 | [
108.299,
199.7486768,
449.7374469,
211.7038768
] |
ZCStthyW-TD.pdf | 2,023 | 0 | LINEBREAK associative memory chronous learning for event-based perception LINEBREAK spatiotemporal LINEBREAK augmented LINEBREAK asynrepresentation LINEBREAK uday kamal∗, saurabh dash* school of electrical and computer engineering georgia institute of technology @gatech.edu, saibal@ece.gatech.edu ukamal6,saurabhda... | 15 | [
265.50898,
267.06404448,
288.6792817105,
278.4050546
] |
CrfhZAsJDsZ.pdf | 2,023 | 0 | LINEBREAK nonlinear reconstruction for operator learning of pdes with discontinuities LINEBREAK samuel lanthaler computing and mathematical science california institute of technology pasadena, ca, usa slanth@caltech.edu LINEBREAK roberto molinaro, patrik hadorn & siddhartha mishra seminar for applied mathematics eth... | 15 | [
108,
571.3560784,
505.24510325,
625.1546784
] |
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