hunoutl/paperlists huggingface dataset:
Title: SPD: Synergy Pattern Diversifying Oriented Unsupervised Multi-agent Reinforcement Learning
Authors: Yuhang Jiang, Jianzhun Shao, Shuncheng He, Hongchang Zhang, Xiangyang Ji
Affiliations: Department of Automation, Tsinghua University, Beijing, China
Conference: nips 2022 (main track)
Keywords: Unsupervised Reinforcement Learning;Multi-agent Reinforcement Learning
Decision: Poster
Title: NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning
Authors: Rong-Jun Qin, Xingyuan Zhang, Songyi Gao, Xiong-Hui Chen, Zewen Li, Weinan Zhang, Yang Yu
Affiliations: Polixir Technologies; National Key Laboratory for Novel Software Technology, Nanjing University; Shanghai Jiao Tong University
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: offline reinforcement learning;conservative datasets;offline policy validation;benchmarks
Decision: Poster
Title: Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators
Authors: Yuhan Helena Liu, Stephen Smith, Stefan Mihalas, Eric Shea-Brown, Uygar Sümbül
Affiliations: Department of Applied Mathematics, University of Washington, Seattle, WA, USA; Allen Institute for Brain Science, Seattle WA, USA; Computational Neuroscience Center, University of Washington, Seattle, WA, USA; Allen Institute for Brain Science, Seattle WA, USA; Allen Institute for Brain Science, Seattle WA, USA; Department of Molecular and Cellular Physiology, Stanford University, Stanford CA, USA
Conference: nips 2022 (main track)
Keywords: Computational neuroscience;learning and plasticity;biologically plausible learning;neuromodulation;cell types;neural circuit mechanisms;temporal credit assignment;recurrent neural networks;Hebbian learning
Decision: Poster
Title: Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods
Authors: Randall Balestriero, Yann LeCun
Affiliations: Meta AI Research, FAIR, NYC, USA; Meta AI Research, FAIR, NYU, NYC, USA
Conference: nips 2022 (main track)
Keywords: self-supervised learning;interpretability;understanding;local spectral methods;global spectral methods
Decision: Poster
Title: Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein Structures
Authors: Shitong Luo, Yufeng Su, Xingang Peng, Sheng Wang, Jian Peng, Jianzhu Ma
Affiliations: University of Illinois Urbana-Champaign; School of Intelligence Science and Technology, Peking University; Helixon Research; Institute for AI Industry Research, Tsinghua University; Paul G. Allen School of Computer Science, University of Washington
Conference: nips 2022 (main track)
Keywords: antibody design;diffusion probabilistic model;protein structure
Decision: Poster
Title: Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits
Authors: Kaining Zhang, Liu Liu, Min-Hsiu Hsieh, Dacheng Tao
Affiliations: School of Computer Science, Faculty of Engineering, The University of Sydney, Sydney, Australia; Hon Hai Quantum Computing Research Center, Taipei, Taiwan
Conference: nips 2022 (main track)
Keywords: quantum algorithm;vanishing gradient problem;optimization;gaussian initialization
Decision: Poster
Title: How Would The Viewer Feel? Estimating Wellbeing From Video Scenarios
Authors: Mantas Mazeika, Eric Tang, Andy Zou, Steven Basart, Jun Shern Chan, Dawn Song, David Forsyth, Jacob Steinhardt, Dan Hendrycks
Affiliations: UChicago; UIUC; UC Berkeley
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: video;emotions;preference learning
Decision: Highlighted
Title: Accelerated Linearized Laplace Approximation for Bayesian Deep Learning
Authors: Zhijie Deng, Feng Zhou, Jun Zhu
Affiliations: Dept. of Comp. Sci. & Tech., BNRist Center, THU-Bosch Joint ML Center, Tsinghua University; Qing Yuan Research Institute, Shanghai Jiao Tong University; Pazhou Laboratory (Huangpu), Guangzhou, China
Conference: nips 2022 (main track)
Keywords: Bayesian deep learning;Laplace approximation;kernel approximation
Decision: Poster
Title: Generalization Bounds for Gradient Methods via Discrete and Continuous Prior
Authors: Xuanyuan Luo, Bei Luo, Jian Li
Affiliations: Renmin University of China; IIIS, Tsinghua University
Conference: nips 2022 (main track)
Keywords: theory;generalization;gradient descent;PAC-Baysian;Langevin Dynamics
Decision: Poster
Title: DiSC: Differential Spectral Clustering of Features
Authors: Ram Dyuthi Sristi, Gal Mishne, Ariel Jaffe
Affiliations: Hebrew University, Jerusalem, Israel; UC San Diego, La Jolla, CA, USA
Conference: nips 2022 (main track)
Keywords: differential features;spectral clustering;feature selection;manifold learning;graph theory
Decision: Poster
Title: Masked Generative Adversarial Networks are Data-Efficient Generation Learners
Authors: Jiaxing Huang, Kaiwen Cui, Dayan Guan, Aoran Xiao, Fangneng Zhan, Shijian Lu, Shengcai Liao, Eric Xing
Affiliations: School of Computer Science, Carnegie Mellon University, USA; Inception Institute of Artificial Intelligence (IIAI), Abu Dhabi, UAE; Max Planck Institute for Informatics, Germany; School of Computer Science and Engineering, Nanyang Technological University, Singapore
Conference: nips 2022 (main track)
Keywords: Generative Adversarial Network;Data Limited Image Generation;Data Efficient GAN
Decision: Poster
Title: Geometry-aware Two-scale PIFu Representation for Human Reconstruction
Authors: Zheng Dong, Ke Xu, Ziheng Duan, Hujun Bao, Weiwei Xu, Rynson Lau
Affiliations: State Key Lab of CAD&CG, Zhejiang University; City University of Hong Kong
Conference: nips 2022 (main track)
Keywords: 3D human reconstruction;depth denoising;multi-task learning;two-scale PIFu representation;geometry-aware features
Decision: Poster
Title: Polynomial Neural Fields for Subband Decomposition and Manipulation
Authors: Guandao Yang, Sagie Benaim, Varun Jampani, Kyle Genova, Jonathan Barron, Thomas Funkhouser, Bharath Hariharan, Serge Belongie
Affiliations: University of Copenhagen; Cornell University; Google Research
Conference: nips 2022 (main track)
Keywords: Neural Fields;Signal Processing;Subband Decomposition;Signal Manipulation
Decision: Poster
Title: A composable machine-learning approach for steady-state simulations on high-resolution grids
Authors: Rishikesh Ranade, Chris Hill, Lalit Ghule, Jay Pathak
Affiliations: Office of CTO, Ansys Inc., San Jose, CA, 95134; Office of CTO, Ansys Inc., Canonsburg, PA, 15317; Fluids Business Unit, Ansys Inc., Lebanon, NH, 03766; Office of CTO, Ansys Inc., Canonsburg, PA 15317
Conference: nips 2022 (main track)
Keywords: machine learning;partial differential equations;computational science
Decision: Poster
Title: CascadeXML: Rethinking Transformers for End-to-end Multi-resolution Training in Extreme Multi-label Classification
Authors: Siddhant Kharbanda, Atmadeep Banerjee, Erik Schultheis, Rohit Babbar
Affiliations: Department of Computer Science, Aalto University, Finland
Conference: nips 2022 (main track)
Keywords: Large Output Spaces;Extreme Classification;Multi-label text classification;label-tree based negative mining
Decision: Poster
Title: A Unified Evaluation of Textual Backdoor Learning: Frameworks and Benchmarks
Authors: Ganqu Cui, Lifan Yuan, Bingxiang He, Yangyi Chen, Zhiyuan Liu, Maosong Sun
Affiliations: Huazhong University of Science and Technology; NLP Group, DCST, IAI, BNRIST, Tsinghua University, Beijing; University of Illinois Urbana-Champaign
Conference: nips 2022 (Datasets & Benchmarks track)
Decision: Poster
Title: Assistive Teaching of Motor Control Tasks to Humans
Authors: Megha Srivastava, Erdem Biyik, Suvir Mirchandani, Noah Goodman, Dorsa Sadigh
Affiliations: Stanford University; UC Berkeley
Conference: nips 2022 (main track)
Keywords: teaching;shared autonomy;human-AI interaction;education;reinforcement learning
Decision: Poster
Title: Implicit Bias of Gradient Descent on Reparametrized Models: On Equivalence to Mirror Descent
Authors: Zhiyuan Li, Tianhao Wang, Jason Lee, Sanjeev Arora
Affiliations: Princeton University, Princeton, NJ 08540; Yale University, New Haven, CT 06511
Conference: nips 2022 (main track)
Keywords: implicit bias;gradient descent;mirror descent
Decision: Poster
Title: On Scrambling Phenomena for Randomly Initialized Recurrent Networks
Authors: Vaggos Chatziafratis, Ioannis Panageas, Clayton Sanford, Stelios Stavroulakis
Affiliations: Department of Computer Science, Columbia University; Department of Computer Science, University of California, Irvine; Department of Computer Science and Engineering, University of California, Santa Cruz
Conference: nips 2022 (main track)
Keywords: RNNs;Scrambling;Jacobian;dynamical systems;trajectories;chaos;initialization;recurrent networks
Decision: Poster
Title: Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation
Authors: Zeyu Qin, Yanbo Fan, Yi Liu, Li Shen, Yong Zhang, Jue Wang, Baoyuan Wu
Affiliations: School of Data Science, Shenzhen Research Institute of Big Data, The Chinese University of Hong Kong, Shenzhen; JD Explore Academy; Tencent AI Lab
Conference: nips 2022 (main track)
Keywords: Adversarial Transferability;Black-Box Attacks;Adversarial Examples
Decision: Poster
Title: Factored DRO: Factored Distributionally Robust Policies for Contextual Bandits
Authors: Tong Mu, Yash Chandak, Tatsunori Hashimoto, Emma Brunskill
Affiliations: Stanford University; University of Massachusetts
Conference: nips 2022 (main track)
Keywords: Contextual Bandits;Distributionally Robust Optimization;Distribution Shifts
Decision: Poster
Title: Large-Scale Differentiable Causal Discovery of Factor Graphs
Authors: Romain Lopez, Jan-Christian Huetter, Jonathan Pritchard, Aviv Regev
Affiliations: Department of Genetics, Stanford University; Division of Research and Early Development, Genentech
Conference: nips 2022 (main track)
Keywords: Causal discovery learning;causal learning gene regulatory networks;factor graphs;graph learning from interventions
Decision: Poster
Title: A Lower Bound of Hash Codes' Performance
Authors: Xiaosu Zhu, Jingkuan Song, Yu Lei, Lianli Gao, Hengtao Shen
Affiliations: Center for Future Media, University of Electronic Science and Technology of China; Center for Future Media, University of Electronic Science and Technology of China; Peng Cheng Laboratory
Conference: nips 2022 (main track)
Keywords: Learning to hash;Compact representation;Fast retrieval;Hamming space metric learning
Decision: Poster
Title: Adaptive Stochastic Variance Reduction for Non-convex Finite-Sum Minimization
Authors: Ali Kavis, Stratis Skoulakis, Kimon Antonakopoulos, Leello Tadesse Dadi, Volkan Cevher
Affiliations: LIONS, EPFL
Conference: nips 2022 (main track)
Keywords: nonconvex optimization;variance reduction;finite-sum minimization;adaptive methods
Decision: Poster
Title: Video-based Human-Object Interaction Detection from Tubelet Tokens
Authors: Danyang Tu, Wei Sun, Xiongkuo Min, Guangtao Zhai, Wei Shen
Affiliations: MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University; Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University
Conference: nips 2022 (main track)
Keywords: human-object interaction;Transformer;tubelet token;video-analysis;compution vision
Decision: Poster
Title: Mirror Descent with Relative Smoothness in Measure Spaces, with application to Sinkhorn and EM
Authors: Pierre-Cyril Aubin-Frankowski, Anna Korba, Flavien Léger
Affiliations: DI ENS, Ecole normale supérieure, Université PSL, CNRS, INRIA Paris; INRIA Paris; CREST, ENSAE, IP Paris
Conference: nips 2022 (main track)
Keywords: optimization;mirror descent;measure spaces;sinkhorn's algorithm;expectation-maximization
Decision: Poster
Title: Enhanced Meta Reinforcement Learning via Demonstrations in Sparse Reward Environments
Authors: Desik Rengarajan, Sapana Chaudhary, Jaewon Kim, Dileep Kalathil, Srinivas Shakkottai
Affiliations: Department of Electrical and Computer Engineering, Texas A&M University
Conference: nips 2022 (main track)
Keywords: Meta-Reinforcement Learning;Learning with Sparse Reward
Decision: Poster
Title: Deterministic Langevin Monte Carlo with Normalizing Flows for Bayesian Inference
Authors: Richard Grumitt, Biwei Dai, Uros Seljak
Affiliations: Department of Astronomy, Tsinghua University, Beijing 100084, China; Physics Department, University of California Berkeley, CA 94720, USA; Physics Department, University of California and Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
Conference: nips 2022 (main track)
Keywords: probabilistic methods;Bayesian Inference;Normalizing Flows
Decision: Poster
Title: Causal Discovery in Heterogeneous Environments Under the Sparse Mechanism Shift Hypothesis
Authors: Ronan Perry, Julius von Kügelgen, Bernhard Schölkopf
Affiliations: Max Planck Institute for Intelligent Systems, Tübingen, Germany
Conference: nips 2022 (main track)
Keywords: causal discovery;sparse mechanism shift;causality;causal inference;distribution shifts;structure learning;heterogenous data;hypothesis testing
Decision: Poster
Title: Coresets for Wasserstein Distributionally Robust Optimization Problems
Authors: Ruomin Huang, Jiawei Huang, Wenjie Liu, Hu Ding
Affiliations: School of Computer Science and Technology, University of Science and Technology of China; School of Data Science, University of Science and Technology of China
Conference: nips 2022 (main track)
Keywords: coreset;robust optimization;wasserstein distance
Decision: Poster
Title: Consistent Sufficient Explanations and Minimal Local Rules for explaining the decision of any classifier or regressor
Authors: Salim I. Amoukou, Nicolas Brunel
Affiliations: LaMME, University Paris Saclay, Stellantis Paris; LaMME, ENSIIE, University Paris Saclay, Quantmetry Paris
Conference: nips 2022 (main track)
Keywords: Interpretability;Trustworthy ML;Robust and Reliable ML;rule-based models;learning theory;random forests;explainable ai;consistency;tree-based models
Decision: Poster
Title: NS3: Neuro-symbolic Semantic Code Search
Authors: Shushan Arakelyan, Anna Hakhverdyan, Miltiadis Allamanis, Luis Garcia, Christophe Hauser, Xiang Ren
Affiliations: USC Information Sciences Institute; National Polytechnic University of Armenia; University of Southern California, Department of Computer Science; Microsoft Research Cambridge
Conference: nips 2022 (main track)
Keywords: deep learning;ml4code;semantic code search
Decision: Poster
Title: Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization
Authors: Minsu Kim, Junyoung Park, Jinkyoo Park
Affiliations: Korea Advanced Institute of Science and Technology (KAIST), Dept. Industrial & Systems Engineering
Conference: nips 2022 (main track)
Keywords: Symmetricity;Equivariant;Combinatorial Optimization;Reinforcement Learning
Decision: Poster
Title: Risk-Driven Design of Perception Systems
Authors: Anthony Corso, Sydney Katz, Craig Innes, Xin Du, Subramanian Ramamoorthy, Mykel J Kochenderfer
Affiliations: Department of Aeronautics and Astronautics, Stanford University, Stanford, CA; School of Informatics, University of Edinburgh, Edinburgh, UK
Conference: nips 2022 (main track)
Keywords: Safety-critical autonomy;risk-sensitivity;perception;aircraft collision avoidance;object detection
Decision: Poster
Title: Large-batch Optimization for Dense Visual Predictions: Training Faster R-CNN in 4.2 Minutes
Authors: Zeyue Xue, Jianming Liang, Guanglu Song, Zhuofan Zong, Liang Chen, Yu Liu, Ping Luo
Affiliations: Beihang Univerisity; The University of Hong Kong, Shanghai AI Laboratory; The University of Hong Kong; Sensetime Research; Peking University; Beihang University
Conference: nips 2022 (main track)
Keywords: Large-batch Training;Dense Visual Predictions;Object Detection and Segmentation
Decision: Poster
Title: Feature Learning in $L_2$-regularized DNNs: Attraction/Repulsion and Sparsity
Authors: Arthur Jacot, Eugene Golikov, Clement Hongler, Franck Gabriel
Affiliations: Institut de Science Financière et d’Assurances, Université Lyon 1; Chair of Statistical Field Theory, École Polytechnique Fédérale de Lausanne; Courant Institute of Mathematical Sciences, New York University
Conference: nips 2022 (main track)
Keywords: Deep Learning;L2 regularization;feature learning
Decision: Poster
Title: RTFormer: Efficient Design for Real-Time Semantic Segmentation with Transformer
Authors: Jian Wang, Chenhui Gou, Qiman Wu, Haocheng Feng, Junyu Han, Errui Ding, Jingdong Wang
Affiliations: Baidu VIS; Australian National University (ANU)
Conference: nips 2022 (main track)
Decision: Poster
Title: SurDis: A Surface Discontinuity Dataset for Wearable Technology to Assist Blind Navigation in Urban Environments
Authors: Kuan Yew Leong, Siew Mooi Lim
Affiliations: Tunku Abdul Rahman University of Management and Technology; A.I. System Research Co., Ltd., Kyoto, 606-8302 Japan
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: surface discontinuity;depth map;stereo vision;blind and low vision navigation
Decision: Poster
Title: Thompson Sampling Efficiently Learns to Control Diffusion Processes
Authors: Mohamad Kazem Shirani Faradonbeh, Mohamad Sadegh Shirani Faradonbeh, Mohsen Bayati
Affiliations: Graduate School of Business, Stanford University, Stanford, CA, 94305; Department of Statistics, University of Georgia, Athens, GA 30602
Conference: nips 2022 (main track)
Keywords: Reinforcement Learning;Posterior Sampling;Continuous-Time Systems;Stochastic Differential Equations;Linear Systems;Adaptive Control
Decision: Poster
Title: AdaFocal: Calibration-aware Adaptive Focal Loss
Authors: Arindam Ghosh, Thomas Schaaf, Matthew Gormley
Affiliations: 3M Health Info. Systems, Pittsburgh, PA 15217; Carnegie Mellon University, Pittsburgh, PA 15213
Conference: nips 2022 (main track)
Keywords: calibration;uncertainity;out of distribution detection;focal loss
Decision: Poster
Title: CageNeRF: Cage-based Neural Radiance Field for Generalized 3D Deformation and Animation
Authors: Yicong Peng, Yichao Yan, Shengqi Liu, Yuhao Cheng, Shanyan Guan, Bowen Pan, Guangtao Zhai, Xiaokang Yang
Affiliations: MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University; Alibaba Group; Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University
Conference: nips 2022 (main track)
Keywords: Neural Radiance Field;3D Reconstruction;Cage Deformation
Decision: Poster
Title: Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning
Authors: Ruida Zhou, Tao Liu, Dileep Kalathil, P. R. Kumar, Chao Tian
Affiliations: Texas A&M University
Conference: nips 2022 (main track)
Keywords: Multi-Objective Markov Decision Process;Constrained Markov Decision Process;Policy Optimization
Decision: Poster
Title: Hilbert Distillation for Cross-Dimensionality Networks
Authors: Dian Qin, Haishuai Wang, Zhe Liu, HONGJIA XU, Sheng Zhou, Jiajun Bu
Affiliations: Zhejiang Provincial Key Laboratory of Service Robot, College of Computer Science, Zhejiang University, Hangzhou, China; School of Software Technology, Zhejiang University, Ningbo, China; Zhejiang Provincial Key Laboratory of Service Robot, College of Computer Science, Zhejiang University, Hangzhou, China
Conference: nips 2022 (main track)
Keywords: knowledge distillation;cross-dimensionality networks;video recognition;medical imaging
Decision: Poster
Title: One Model to Edit Them All: Free-Form Text-Driven Image Manipulation with Semantic Modulations
Authors: Yiming Zhu, Hongyu Liu, Yibing Song, Ziyang Yuan, Xintong Han, Chun Yuan, Qifeng Chen, Jue Wang
Affiliations: Hong Kong University of Science and Technology; Tsinghua Shenzhen International Graduate School; Tencent AI Lab; Huya Inc
Conference: nips 2022 (main track)
Decision: Poster
Title: Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection
Authors: Yiming Li, Yang Bai, Yong Jiang, Yong Yang, Shu-Tao Xia, Bo Li
Affiliations: Tencent Security Platform Department, China; Tencent Security Zhuque Lab, China; Tsinghua Shenzhen International Graduate School, Tsinghua University, China; The Department of Computer Science, University of Illinois at Urbana-Champaign, USA
Conference: nips 2022 (main track)
Keywords: Ownership Verification;Dataset Protection;Copyright Protection;Backdoor Attack;AI Security
Decision: Highlighted
Title: Path Independent Equilibrium Models Can Better Exploit Test-Time Computation
Authors: Cem Anil, Ashwini Pokle, Kaiqu Liang, Johannes Treutlein, Yuhuai Wu, Shaojie Bai, J. Zico Kolter, Roger Grosse
Affiliations: Princeton University; Carnegie Mellon University and Bosch Center for AI; Carnegie Mellon University; University of Toronto and Vector Institute; University of California, Berkeley; Stanford University and Google Research
Conference: nips 2022 (main track)
Keywords: equilibrium models;attractor networks;test time compute;out of distribution generalization
Decision: Poster
Title: IMED-RL: Regret optimal learning of ergodic Markov decision processes
Authors: Fabien Pesquerel, Odalric-Ambrym Maillard
Affiliations: Univ. Lille, CNRS, Inria, Centrale Lille, UMR 9198-CRIStAL, F-59000 Lille, France
Conference: nips 2022 (main track)
Keywords: Reinforcement Learning;sequential learning;average-reward;lower bound;regret minimization;upper bound;optimal;Bandit;ergodic
Decision: Poster
Title: Data-Efficient Pipeline for Offline Reinforcement Learning with Limited Data
Authors: Allen Nie, Yannis Flet-Berliac, Deon Jordan, William Steenbergen, Emma Brunskill
Affiliations: Department of Computer Science, Stanford University
Conference: nips 2022 (main track)
Keywords: offline reinforcement learning;hyperparameter selection;policy deployment;small data regime;batch value function tournament (BVFT)
Decision: Poster
Title: Robust Bayesian Regression via Hard Thresholding
Authors: Fan zheyi, Zhaohui Li, Qingpei Hu
Affiliations: H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, USA; Academy of Mathematics and Systems Science, Chinese Academy of Sciences, China; School of Mathematical Sciences, University of Chinese Academy of Sciences, China
Conference: nips 2022 (main track)
Keywords: Robust regression;Hard thresholding;Bayesian reweighting;Variational inference
Decision: Poster
Title: On Measuring Excess Capacity in Neural Networks
Authors: Florian Graf, Sebastian Zeng, Bastian Rieck, Marc Niethammer, Roland Kwitt
Affiliations: University of Salzburg; UNC Chapel Hill; Institute for AI and Health, Helmholtz Munich
Conference: nips 2022 (main track)
Keywords: Deep learning theory;Rademacher complexity;Residual networks;Convolutions;Excess capacity
Decision: Poster
Title: Adam Can Converge Without Any Modification On Update Rules
Authors: Yushun Zhang, Congliang Chen, Naichen Shi, Ruoyu Sun, Zhi-Quan Luo
Affiliations: The Chinese University of Hong Kong, Shenzhen, China; University of Michigan, US
Conference: nips 2022 (main track)
Keywords: optimization;deep learning;adam
Decision: Poster
Title: ElasticMVS: Learning elastic part representation for self-supervised multi-view stereopsis
Authors: Jinzhi Zhang, Ruofan Tang, Zheng Cao, Jing Xiao, Ruqi Huang, LU FANG
Affiliations: Dept. of Automation, Tsinghua University; Pingan Group; Tsinghua Shenzhen International Graduate School; BirenTech Research; Department of Electronic Engineering, Tsinghua University
Conference: nips 2022 (main track)
Decision: Poster
Title: Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein Distances
Authors: Sloan Nietert, Ziv Goldfeld, Ritwik Sadhu, Kengo Kato
Affiliations: Cornell University
Conference: nips 2022 (main track)
Keywords: sliced optimal transport;Wasserstein distances;empirical convergence;robust statistics
Decision: Poster
Title: Benign Underfitting of Stochastic Gradient Descent
Authors: Tomer Koren, Roi Livni, Yishay Mansour, Uri Sherman
Affiliations: Blavatnik School of Computer Science, Tel Aviv University and Google Research; Blavatnik School of Computer Science, Tel Aviv University; Department of Electrical Engineering, Tel Aviv University
Conference: nips 2022 (main track)
Keywords: Stochastic Gradient Descent;Convex Optimization;Generalization Error Bounds;Algorithmic Stability
Decision: Poster