hunoutl/paperlists huggingface dataset:
Title: A Unified Framework for Bayesian Optimization under Contextual Uncertainty
Authors: Sebastian Shenghong Tay, Chuan-Sheng Foo, Daisuke Urano, Richalynn Leong, Bryan Kian Hsiang Low
Affiliations: Temasek Life Sciences Laboratory, Singapore; Institute for Infocomm Research (I2R), A*STAR, Singapore; Centre for Frontier AI Research (CFAR), A*STAR, Singapore; Department of Computer Science, National University of Singapore; Department of Computer Science, National University of Singapore; Institute for Infocomm Research (I2R), A*STAR, Singapore
Conference: iclr 2024 (main track)
Keywords: Bayesian optimization;Gaussian processes
Decision: Poster
Title: Graph Neural Networks for Learning Equivariant Representations of Neural Networks
Authors: Miltiadis (Miltos) Kofinas, Boris Knyazev, Yan Zhang, Yunlu Chen, Gertjan J Burghouts, Efstratios Gavves, Cees G Snoek, David Zhang
Affiliations: Carnegie Mellon University; Samsung - SAIT AI Lab, Montreal; University of Amsterdam; TNO
Conference: iclr 2024 (main track)
Keywords: Deep weight space;Graph neural networks;Transformers;Permutation equivariance;Implicit neural representations;Networks for networks;Neural graphs
Decision: Oral
Title: Towards Cheaper Inference in Deep Networks with Lower Bit-Width Accumulators
Authors: Yaniv Blumenfeld, Itay Hubara, Daniel Soudry
Affiliations: Intel-HabanaLabs, Israel; Technion, Israel
Conference: iclr 2024 (main track)
Keywords: Deep Neural Networks;Quantized Neural Networks;Network Quantization;Accumulators;Accelerators;Inference;Computer Vision;Language Models
Decision: Poster
Title: ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis
Authors: Kensen Shi, Joey Hong, Yinlin Deng, Pengcheng Yin, Manzil Zaheer, Charles Sutton
Affiliations: University of Illinois Urbana-Champaign; Google DeepMind; UC Berkeley
Conference: iclr 2024 (main track)
Keywords: Program Synthesis;Programming By Example;Generalization;Compositional Generalization
Decision: Oral
Title: Retrieval is Accurate Generation
Authors: Bowen Cao, Deng Cai, Leyang Cui, Xuxin Cheng, Wei BI, Yuexian Zou, Shuming Shi
Affiliations: School of ECE, Peking University; Tencent AI Lab
Conference: iclr 2024 (main track)
Keywords: Artificial Intelligence;Natural Language Processing;Language Models
Decision: Poster
Title: Score Models for Offline Goal-Conditioned Reinforcement Learning
Authors: Harshit Sikchi, Rohan Chitnis, Ahmed Touati, Alborz Geramifard, Amy Zhang, Scott Niekum
Affiliations: Meta AI; University of Texas at Austin; UMass Amherst; University of Texas at Austin, Meta AI
Conference: iclr 2024 (main track)
Keywords: Robot Learning;Goal-Conditioned Reinforcement Learning;Deep Reinforcement Learning
Decision: Poster
Title: Magnushammer: A Transformer-Based Approach to Premise Selection
Authors: Maciej Mikuła, Szymon Tworkowski, Szymon Antoniak, Bartosz Piotrowski, Qiaochu Jiang, Jin Zhou, Christian Szegedy, Łukasz Kuciński, Piotr Miłoś, Yuhuai Wu
Affiliations: Cornell University; IDEAS NCBR, IMPAN; Mistral AI; IDEAS NCBR; xAI; University of Cambridge; Google DeepMind
Conference: iclr 2024 (main track)
Keywords: transformers;interactive theorem proving;automated reasoning;contrastive learning;premise selection
Decision: Poster
Title: Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
Authors: Yiyang Zhou, Chenhang Cui, Jaehong Yoon, Linjun Zhang, Zhun Deng, Chelsea Finn, Mohit Bansal, Huaxiu Yao
Affiliations: Stanford University; UNC-Chapel Hill; Rutgers University; Columbia University
Conference: iclr 2024 (main track)
Keywords: Hallucination;large vision-language model;multimodal learning
Decision: Poster
Title: Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation
Authors: Xinyu Tang, Richard Shin, Huseyin Inan, Andre Manoel, Niloofar Mireshghallah, Zinan Lin, Sivakanth Gopi, Janardhan Kulkarni, Robert Sim
Affiliations: Princeton University; M365 Research; University of Washington; Microsoft Semantic Machines; Microsoft Research
Conference: iclr 2024 (main track)
Keywords: differential privacy;large language models;in-context learning
Decision: Poster
Title: LDReg: Local Dimensionality Regularized Self-Supervised Learning
Authors: Hanxun Huang, Ricardo Campello, Sarah Erfani, Xingjun Ma, Michael E. Houle, James Bailey
Affiliations: Department of Computer Science, New Jersey Institute of Technology, USA; School of Computing and Information Systems, The University of Melbourne, Australia; Department of Mathematics and Computer Science, University of Southern Denmark, Denmark; School of Computer Science, Fudan University, China
Conference: iclr 2024 (main track)
Keywords: Self-supervised learning;Local Intrinsic Dimensionality;Dimension Collapse;Contrastive Learning
Decision: Poster
Title: Reconciling Spatial and Temporal Abstractions for Goal Representation
Authors: Mehdi Zadem, Sergio Mover, Sao Mai Nguyen
Affiliations: CNRS, Flowers Team, U2IS, ENSTA Paris, IP Paris; LIX, Ecole Polytechnique, Institut Polytechnique de Paris, France; IMT Atlantique, Lab-STICC, UMR CNRS 6285
Conference: iclr 2024 (main track)
Keywords: Hierarchical Reinforcement Learning;Goal Representation;Reachability Analysis
Decision: Poster
Title: AffineQuant: Affine Transformation Quantization for Large Language Models
Authors: Yuexiao Ma, Huixia Li, Xiawu Zheng, Feng Ling, Xuefeng Xiao, Rui Wang, Shilei Wen, Fei Chao, Rongrong Ji
Affiliations: Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Ministry of Education of China, School of Informatics, Xiamen University, 361005, P.R. China. Institute of Artificial Intelligence, Xiamen University. (Corresponding Author: rrji@xmu.edu.cn); ByteDance Inc.; Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Ministry of Education of China, School of Informatics, Xiamen University, 361005, P.R. China.; Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Ministry of Education of China, School of Informatics, Xiamen University, 361005, P.R. China. (This work was done when Yuexiao Ma was intern at ByteDance Inc.); Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Ministry of Education of China, School of Informatics, Xiamen University, 361005, P.R. China. Peng Cheng Laboratory, Shenzhen, China.
Conference: iclr 2024 (main track)
Keywords: post-training quantization;large language model;Affine Transformation
Decision: Poster
Title: ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models
Authors: Iman Mirzadeh, Keivan Alizadeh-Vahid, Sachin Mehta, Carlo C del Mundo, Oncel Tuzel, Golnoosh Samei, Mohammad Rastegari, Mehrdad Farajtabar
Affiliations: Apple
Conference: iclr 2024 (main track)
Keywords: Large Language Models;Sparsity;Activation Function;ReLU Activation Function
Decision: Oral
Title: Prototypical Information Bottlenecking and Disentangling for Multimodal Cancer Survival Prediction
Authors: Yilan Zhang, Yingxue XU, Jianqi Chen, Fengying Xie, Hao CHEN
Affiliations: The Hong Kong University of Science and Technology; Beihang University
Conference: iclr 2024 (main track)
Keywords: multimodal survival prediction;computational pathology
Decision: Spotlight
Title: Advancing the Lower Bounds: an Accelerated, Stochastic, Second-order Method with Optimal Adaptation to Inexactness
Authors: Artem Agafonov, Dmitry Kamzolov, Alexander Gasnikov, Ali Kavis, Kimon Antonakopoulos, Volkan Cevher, Martin Takáč
Affiliations: Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE; Laboratory for Information and Inference Systems, IEM STI EPFL, Lausanne, Switzerland; Moscow Institute of Physics and Technology, Dolgoprudny, Russia
Conference: iclr 2024 (main track)
Keywords: Second-order methods;convex optimization;stochastic optimization;Cubic Newton Method;high-order methods;tensor methods;lower bounds
Decision: Poster
Title: Quality-Diversity through AI Feedback
Authors: Herbie Bradley, Andrew Dai, Hannah Teufel, Jenny Zhang, Koen Oostermeijer, Marco Bellagente, Jeff Clune, Kenneth Stanley, G. Schott, Joel Lehman
Affiliations: Stability AI; Aleph Alpha; CarperAI, CAML Lab, University of Cambridge, EleutherAI; Department of Computer Science, University of British Columbia, Vector Institute, Canada CIFAR AI Chair; Department of Computer Science, University of British Columbia, Vector Institute; Maven; Stochastic Labs
Conference: iclr 2024 (main track)
Keywords: quality diversity;large language models;derivative-free optimization;AI feedback
Decision: Poster
Title: Yet Another ICU Benchmark: A Flexible Multi-Center Framework for Clinical ML
Authors: Robin van de Water, Hendrik Schmidt, Paul Elbers, Patrick Thoral, Bert Arnrich, Patrick Rockenschaub
Affiliations: Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands; Hasso Plattner Institute, University of Potsdam, Germany; Lab for AI in Medicine, Charité - Universitätsmedizin Berlin, Germany
Conference: iclr 2024 (main track)
Keywords: ICU;Intensive Care Unit;EHR;ML;Time Series;Patient Monitoring;Clinical ML;Benchmark;Multi-Center;MIMIC;eICU;HiRID;AmsterdamUMCdb
Decision: Poster
Title: Backdoor Contrastive Learning via Bi-level Trigger Optimization
Authors: Weiyu Sun, Xinyu Zhang, Hao LU, YINGCONG CHEN, Ting Wang, Jinghui Chen, Lu Lin
Affiliations: Stony Brook University; The Hong Kong University of Science and Technology; The Pennsylvania State University; Nanjing University
Conference: iclr 2024 (main track)
Keywords: backdoor attack;unsupervised contrastive learning
Decision: Poster
Title: Traveling Waves Encode The Recent Past and Enhance Sequence Learning
Authors: Andy Keller, Lyle Muller, Terrence Sejnowski, Max Welling
Affiliations: Amsterdam Machine Learning Lab, University of Amsterdam, NL; Department of Mathematics, Western University, CA; Computational Neurobiology Lab, Salk Institute for Biological Studies, USA; The Kempner Institute for the Study of Natural and Artificial Intelligence, Harvard University, USA
Conference: iclr 2024 (main track)
Keywords: RNNs;Traveling Waves;Memory;Sequence Modeling
Decision: Poster
Title: Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis
Authors: Jonghyun Lee, Hansam Cho, YoungJoon Yoo, Seoung Bum Kim, Yonghyun Jeong
Affiliations: Korea University, NAVER Cloud; NAVER Cloud; Korea University
Conference: iclr 2024 (main track)
Keywords: Generative Models;Diffusion Models;Image Editing;Image Composition
Decision: Poster
Title: Only Pay for What Is Uncertain: Variance-Adaptive Thompson Sampling
Authors: Aadirupa Saha, Branislav Kveton
Affiliations: Apple; Amazon
Conference: iclr 2024 (main track)
Keywords: Thompson Sampling;Multiarmed;Bandits;Gaussian;Gamma;MAB;Variance aware;Regret;Prior;Posterior;Bayesian;Tight;Guarantee;Empirical
Decision: Poster
Title: Improved Regret Bounds for Non-Convex Online-Within-Online Meta Learning
Authors: Jiechao GUAN, Hui Xiong
Affiliations: AI Thrust, The Hong Kong University of Science and Technology (Guangzhou), China; 1. AI Thrust, The Hong Kong University of Science and Technology (Guangzhou), China; 2. Guangzhou HKUST Fok Ying Tung Research Institute, China
Conference: iclr 2024 (main track)
Keywords: meta learning theory;non-convex online meta learning;piecewise-Lipschitz/non-Lipschitz functions;regret bounds;PAC-Bayes generalization bound
Decision: Poster
Title: Differentiable Learning of Generalized Structured Matrices for Efficient Deep Neural Networks
Authors: Changwoo Lee, Hun-Seok Kim
Affiliations: University of Michigan, Ann Arbor, MI, USA
Conference: iclr 2024 (main track)
Keywords: Structured Matrix;Block Low Rank;Low Rank;Efficient Neural Network;Transformer;Fourier;Dirichlet Kernel;FFT;Boxcar;Pruning;Compression
Decision: Poster
Title: Causal Modelling Agents: Causal Graph Discovery through Synergising Metadata- and Data-driven Reasoning
Authors: Ahmed Abdulaal, Adamos Hadjivasiliou, Nina Montaña-Brown, Tiantian He, Ayodeji Ijishakin, Ivana Drobnjak, Daniel Castro, Daniel Alexander
Affiliations: Microsoft Research, Cambridge; Centre for Medical Image Computing, UCL, London, United Kingdom
Conference: iclr 2024 (main track)
Keywords: Causal Reasoning;Causal Discovery;Structural Causal Models;Large Language Models
Decision: Poster
Title: Near-Optimal Quantum Algorithm for Minimizing the Maximal Loss
Authors: Hao Wang, Chenyi Zhang, Tongyang Li
Affiliations: Center on Frontiers of Computing Studies, School of Computer Science, Peking University, Beijing, China; Computer Science Department, Stanford University, Stanford, CA 94305, USA; School of EECS, Peking University, Beijing, China
Conference: iclr 2024 (main track)
Keywords: Quantum Algorithms;Quantum Query Complexity;Convex Optimization;Minimizing Loss
Decision: Poster
Title: Grounded Object-Centric Learning
Authors: Avinash Kori, Francesco Locatello, Fabio De Sousa Ribeiro, Francesca Toni, Ben Glocker
Affiliations: Institute of Science and Technology Austria; Imperial College London
Conference: iclr 2024 (main track)
Keywords: object-centric representation learning;the binding problem;the grounding problem;slot attention
Decision: Poster
Title: Large-scale Training of Foundation Models for Wearable Biosignals
Authors: Salar Abbaspourazad, Oussama Elachqar, Andrew Miller, Saba Emrani, Udhyakumar Nallasamy, Ian Shapiro
Affiliations: Apple
Conference: iclr 2024 (main track)
Keywords: Self-supervised learning;Representation learning;Foundation models;Biosignals;Wearable devices;Health;Photoplethysmography;PPG;Electrocardiogram;ECG
Decision: Poster
Title: Two-stage LLM Fine-tuning with Less Specialization and More Generalization
Authors: Yihan Wang, Si Si, Daliang Li, Michal Lukasik, Felix Yu, Cho-Jui Hsieh, Inderjit Dhillon, Sanjiv Kumar
Affiliations: Department of Computer Science, UCLA; Google
Conference: iclr 2024 (main track)
Keywords: language model;Generalization
Decision: Poster
Title: Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RL
Authors: Xiangyu Liu, Souradip Chakraborty, Yanchao Sun, Furong Huang
Affiliations: University of Maryland, College Park; J.P. Morgan AI Research
Conference: iclr 2024 (main track)
Keywords: Reinforcement learning;adversarial policies
Decision: Poster
Title: On Adversarial Training without Perturbing all Examples
Authors: Max Losch, Mohamed Omran, David Stutz, Mario Fritz, Bernt Schiele
Affiliations: Max Planck Institute for Informatics, Saarland Informatics Campus; CISPA Helmholtz Center for Information Security, Saarbrücken
Conference: iclr 2024 (main track)
Keywords: adversarial robustness;adversarial training;adversarial robust transfer
Decision: Poster
Title: Scalable Modular Network: A Framework for Adaptive Learning via Agreement Routing
Authors: Minyang Hu, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin CHEN
Affiliations: Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences; University of Chinese Academy of Sciences
Conference: iclr 2024 (main track)
Keywords: modular neural network; module selection process; adaptive learning
Decision: Poster
Title: RAIN: Your Language Models Can Align Themselves without Finetuning
Authors: Yuhui Li, Fangyun Wei, Jinjing Zhao, Chao Zhang, Hongyang Zhang
Affiliations: Peking University; The University of Sydney; Microsoft Research; University of Waterloo
Conference: iclr 2024 (main track)
Keywords: Large language models;Alignment
Decision: Poster
Title: Robust Adversarial Reinforcement Learning via Bounded Rationality Curricula
Authors: Aryaman Reddi, Maximilian Tölle, Jan Peters, Georgia Chalvatzaki, Carlo D'Eramo
Affiliations: Department of Computer Science, TU Darmstadt, Germany; Hessian Center for Artificial Intelligence (Hessian.ai), Germany; Department of Computer Science, TU Darmstadt, Germany; German Research Center for AI (DFKI), Systems AI for Robot Learning, Germany; Department of Computer Science, TU Darmstadt, Germany; Hessian Center for Artificial Intelligence (Hessian.ai), Germany; Center for Artificial Intelligence and Data Science, University of W ¨urzburg, Germany; Department of Computer Science, TU Darmstadt, Germany; Hessian Center for Artificial Intelligence (Hessian.ai), Germany; German Research Center for AI (DFKI), Systems AI for Robot Learning, Germany; Center for Cognitive Science, TU Darmstadt, Germany
Conference: iclr 2024 (main track)
Keywords: reinforcement learning;adversarial;bounded rationality;curriculum
Decision: Spotlight
Title: Imitation Learning from Observation with Automatic Discount Scheduling
Authors: Yuyang Liu, Weijun Dong, Yingdong Hu, Chuan Wen, Zhao-Heng Yin, Chongjie Zhang, Yang Gao
Affiliations: Washington University in St. Louis; Institute for Interdisciplinary Information Sciences, Tsinghua University; Shanghai Qi Zhi Institute; Shanghai Artificial Intelligence Laboratory; Institute for Interdisciplinary Information Sciences, Tsinghua University; Shanghai Qi Zhi Institute; UC Berkeley
Conference: iclr 2024 (main track)
Keywords: imitation learning;inverse reinforcement learning;reinforcement learning;currilulum learning;optimal transport
Decision: Poster
Title: PBADet: A One-Stage Anchor-Free Approach for Part-Body Association
Authors: Zhongpai Gao, Huayi Zhou, Abhishek Sharma, Meng Zheng, Benjamin Planche, Terrence Chen, Ziyan Wu
Affiliations: United Imaging Intelligence, Burlington, MA 01803, USA; Shanghai Jiao Tong University, Shanghai 200240, China
Conference: iclr 2024 (main track)
Keywords: Human detection;part detection;association detection;anchor free
Decision: Poster
Title: GNeRP: Gaussian-guided Neural Reconstruction of Reflective Objects with Noisy Polarization Priors
Authors: LI Yang, RUIZHENG WU, Jiyong Li, YINGCONG CHEN
Affiliations: R & D Center, SmartMore, Qianhai, Shenzhen, China; Department of Computer Science, Sun Yat-sen University, Panyu, Guangzhou, China; AI Thrust, HKUST(GZ), Nansha, Guangzhou, China; Department of Computer Science & Engineering, HKUST, Clear Water Bay, HongKong SAR, China
Conference: iclr 2024 (main track)
Keywords: Neural 3D Reconstruction;Specular Reflection
Decision: Poster
Title: Harnessing Joint Rain-/Detail-aware Representations to Eliminate Intricate Rains
Authors: Wu Ran, Peirong Ma, Zhiquan He, Hao Ren, Hong Lu
Affiliations: School of Computer Science, Fudan University; Shanghai Key Lab of Intelligent Information Processing
Conference: iclr 2024 (main track)
Keywords: Joint rain-/detail-aware representation learning;contrastive learning;context-based modulation mechanism;image deraining
Decision: Poster
Title: Think before you speak: Training Language Models With Pause Tokens
Authors: Sachin Goyal, Ziwei Ji, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar, Vaishnavh Nagarajan
Affiliations: Google Research, NY; Machine Learning Department, Carnegie Mellon University
Conference: iclr 2024 (main track)
Keywords: LLM training and inference;Downstream finetuning
Decision: Poster
Title: Probabilistic Adaptation of Black-Box Text-to-Video Models
Authors: Sherry Yang, Yilun Du, Bo Dai, Dale Schuurmans, Joshua B Tenenbaum, Pieter Abbeel
Affiliations: Google DeepMind; MIT; UC Berkeley
Conference: iclr 2024 (main track)
Keywords: Controllable video generation;probabilistic adaptation;video diffusion;black box adaptation
Decision: Poster
Title: Kernel Metric Learning for In-Sample Off-Policy Evaluation of Deterministic RL Policies
Authors: Haanvid Lee, Tri Wahyu Guntara, Jongmin Lee, Yung-Kyun Noh, Kee-Eung Kim
Affiliations: KAIST; Hanyang Univ., KIAS; UC Berkeley
Conference: iclr 2024 (main track)
Keywords: off-policy evaluation;reinforcement learning;deterministic policy;continuous actions;metric learning
Decision: Spotlight
Title: Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modal Language Models
Authors: Erfan Shayegani, Yue Dong, Nael Abu-Ghazaleh
Affiliations: Department of Computer Science, University of California, Riverside
Conference: iclr 2024 (main track)
Keywords: Adversarial attacks;Vision encoders;Jailbreak;Prompt Injection;Security;Embedding space attacks;Black box;LLM;Vision-Language Models;Multi-Modal Models;VLM;Alignment;Cross-Modality alignment
Decision: Spotlight
Title: Tractable MCMC for Private Learning with Pure and Gaussian Differential Privacy
Authors: Yingyu Lin, Yian Ma, Yu-Xiang Wang, Rachel Redberg, Zhiqi Bu
Affiliations: UC San Diego; Amazon AI; UC Santa Barbara
Conference: iclr 2024 (main track)
Keywords: Pure Differential Privacy;Monte Carlo sampling;Gaussian Differential Privacy;Exponential Mechanism
Decision: Poster
Title: AmortizedPeriod: Attention-based Amortized Inference for Periodicity Identification
Authors: Hang Yu, Cong Liao, Ruolan Liu, Jianguo Li, Hu Yun, Xinzhe Wang
Affiliations: Ant Group, Hangzhou, 310013, China
Conference: iclr 2024 (main track)
Keywords: Periodicity Identification;Probabilistic Models;Amortized Inference;Attention;Time Series Analysis
Decision: Poster
Title: #InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models
Authors: Keming Lu, Hongyi Yuan, Zheng Yuan, Runji Lin, Junyang Lin, Chuanqi Tan, Chang Zhou, Jingren Zhou
Affiliations: Alibaba DAMO Academy
Conference: iclr 2024 (main track)
Keywords: Data Analysis;Supervised Fine-tuning for Human Alignment;Large Language Model
Decision: Poster
Title: Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models
Authors: Tianzhe Chu, Shengbang Tong, Tianjiao Ding, Xili Dai, Benjamin Haeffele, Rene Vidal, Yi Ma
Affiliations: 3University of Pennsylvania; 1University of California, Berkeley, 2ShanghaiTech University; 1University of California, Berkeley, 6Hong Kong University; 5Johns Hopkins University; 1University of California, Berkeley; 4Hong Kong University of Science and Technology (Guangzhou)
Conference: iclr 2024 (main track)
Keywords: image clustering;pretrained models;rate reduction;principled methods
Decision: Poster
Title: $\alpha$TC-VAE: On the relationship between Disentanglement and Diversity
Authors: Cristian Meo, Louis Mahon, Anirudh Goyal, Justin Dauwels
Affiliations: Google DeepMind, UK; University of Edinburgh, UK; TUDelft, NL
Conference: iclr 2024 (main track)
Keywords: Disentanglement;Diversity;Generative Modeling
Decision: Poster
Title: CIFAR-10-Warehouse: Broad and More Realistic Testbeds in Model Generalization Analysis
Authors: Xiaoxiao Sun, Xingjian Leng, Zijian Wang, Yang Yang, Zi Huang, Liang Zheng
Affiliations: The University of Queensland; The Australian National University
Conference: iclr 2024 (main track)
Keywords: doamin generalization;model accuracy prediction;testbeds
Decision: Poster
Title: InterpGNN: Understand and Improve Generalization Ability of Transdutive GNNs through the Lens of Interplay between Train and Test Nodes
Authors: Jiawei Sun, Kailai Li, Ruoxin Chen, Jie LI, Chentao Wu, Yue Ding, Junchi Yan
Affiliations: MoE Key Lab of AI, Shanghai Jiao Tong University; Youtu Lab, Tencent; Department of Computer Science and Engineering, Shanghai Jiao Tong University
Conference: iclr 2024 (main track)
Keywords: Graph Neural Networks;Generalization bounds;PAC-Bayesian;Structural imbalance;Graph Global Workspace
Decision: Poster
Title: Effective and Efficient Federated Tree Learning on Hybrid Data
Authors: Qinbin Li, Chulin Xie, Xiaojun Xu, Xiaoyuan Liu, Ce Zhang, Bo Li, Bingsheng He, Dawn Song
Affiliations: Together AI, University of Chicago; UIUC, University of Chicago; National University of Singapore; UIUC; UC Berkeley
Conference: iclr 2024 (main track)
Keywords: federated learning
Decision: Poster
Title: How I Warped Your Noise: a Temporally-Correlated Noise Prior for Diffusion Models
Authors: Pascal Chang, Jingwei Tang, Markus Gross, Vinicius Da Costa De Azevedo
Affiliations: ETH Zürich, Switzerland
Conference: iclr 2024 (main track)
Keywords: diffusion models; temporal coherency; Gaussian noise field; continuous white noise; noise transport
Decision: Oral
Title: Conformal Language Modeling
Authors: Victor Quach, Adam Fisch, Tal Schuster, Adam Yala, Jae Ho Sohn, Tommi Jaakkola, Regina Barzilay
Affiliations: CSAIL, MIT; UC Berkeley; UCSF; Google Research
Conference: iclr 2024 (main track)
Keywords: conformal prediction;uncertainty estimation;language models;generative models;confidence;prediction sets;sampling
Decision: Poster