hunoutl/paperlists huggingface dataset:
Title: Implicit regularization of deep residual networks towards neural ODEs
Authors: Pierre Marion, Yu-Han Wu, Michael Sander, Gérard Biau
Affiliations: LPSM, Sorbonne Université, CNRS, Paris, France; DMA, ENS, CNRS, Paris, France
Conference: iclr 2024 (main track)
Keywords: deep learning theory;residual networks;neural ODEs;optimization;implicit regularization;gradient flow
Decision: Spotlight
Title: Forward Learning of Graph Neural Networks
Authors: Namyong Park, Xing Wang, Antoine Simoulin, Shuai Yang, Grey Yang, Ryan Rossi, Puja Trivedi, Nesreen Ahmed
Affiliations: Meta AI; University of Michigan; Intel Labs; Adobe Research
Conference: iclr 2024 (main track)
Keywords: graph neural networks;forward learning;forward-forward algorithm
Decision: Poster
Title: Rethinking Model Ensemble in Transfer-based Adversarial Attacks
Authors: Huanran Chen, Yichi Zhang, Yinpeng Dong, Xiao Yang, Hang Su, Jun Zhu
Affiliations: Dept. of Comp. Sci. and Tech., Institute for AI, Tsinghua-Bosch Joint ML Center, THBI Lab, BNRist Center, Tsinghua University, Beijing, 100084, China; School of Computer Science, Beijing Institute of Technology
Conference: iclr 2024 (main track)
Keywords: Adversarial attack;transferability;ensemble attack;robustness
Decision: Poster
Title: Out-of-Distribution Detection by Leveraging Between-Layer Transformation Smoothness
Authors: Fran Jelenić, Josip Jukić, Martin Tutek, Mate Puljiz, Jan Snajder
Affiliations: TakeLab, Faculty of Electrical Engineering and Computing, University of Zagreb, Croatia; UKP Lab, Technical University of Darmstadt, Germany; Faculty of Electrical Engineering and Computing, University of Zagreb, Croatia
Conference: iclr 2024 (main track)
Keywords: out-of-distribution detection;deep neural networks;transformers;representation analysis;uncertainty quantification;text classification
Decision: Poster
Title: Distinguished In Uniform: Self-Attention Vs. Virtual Nodes
Authors: Jan Tönshoff, Eran Rosenbluth, Martin Ritzert, Berke Kisin, Martin Grohe
Affiliations: RWTH Aachen University; Georg-August-Universität Göttingen
Conference: iclr 2024 (main track)
Keywords: Graph Neural Networks;Message Passing;Graph Transformers;Virtual Nodes;Expressivity;Uniform Expressivity
Decision: Poster
Title: Risk Bounds of Accelerated SGD for Overparameterized Linear Regression
Authors: Xuheng Li, Yihe Deng, Jingfeng Wu, Dongruo Zhou, Quanquan Gu
Affiliations: Simons Institute, University of California, Berkeley, CA 94720, USA; Department of Computer Science, University of California, Los Angeles, CA 90095, USA; Department of Computer Science, Indiana University Bloomington, IN 47408, USA
Conference: iclr 2024 (main track)
Keywords: Accelerated stochastic gradient descent;excess risk;linear regression;overparameterization
Decision: Poster
Title: Rotation Has Two Sides: Evaluating Data Augmentation for Deep One-class Classification
Authors: Guodong Wang, Yunhong Wang, Xiuguo Bao, Di Huang
Affiliations: Natl. Comp. Net. Emer. Resp. Tech. Team/Coord. Ctr. of China, Beijing, China; School of Computer Science and Engineering, Beihang University, Beijing, China; State Key Laboratory of Software Development Environment, Beihang University, Beijing, China
Conference: iclr 2024 (main track)
Keywords: self-supervised learning;deep one-class cilassification
Decision: Spotlight
Title: Ghost on the Shell: An Expressive Representation of General 3D Shapes
Authors: Zhen Liu, Yao Feng, Yuliang Xiu, Weiyang Liu, Liam Paull, Michael J Black, Bernhard Schoelkopf
Affiliations: ETH Zürich; University of Cambridge; Max Planck Institute for Intelligent Systems - Tübingen; Mila – Quebec AI Institute, Université de Montréal
Conference: iclr 2024 (main track)
Keywords: Non-watertight mesh; generative model; 3D geometry; differentiable rendering
Decision: Oral
Title: General Stability Analysis for Zeroth-Order Optimization Algorithms
Authors: Xinyue Liu, Hualin Zhang, Bin Gu, Hong Chen
Affiliations: College of Informatics, Huazhong Agricultural University, China; Engineering Research Center of Intelligent Technology for Agriculture, China; School of Artificial Intelligence, Jilin University, China; Mohamed bin Zayed University of Artificial Intelligence, UAE; Mohamed bin Zayed University of Artificial Intelligence, UAE
Conference: iclr 2024 (main track)
Keywords: Stability Analysis; Zeroth-Order Optimization; Black-Box Learning
Decision: Poster
Title: Role of Locality and Weight Sharing in Image-Based Tasks: A Sample Complexity Separation between CNNs, LCNs, and FCNs
Authors: Aakash Sunil Lahoti, Stefani Karp, Ezra Winston, Aarti Singh, Yuanzhi Li
Affiliations: Machine Learning Department, Carnegie Mellon University, Google Research; Machine Learning Department, Carnegie Mellon University
Conference: iclr 2024 (main track)
Keywords: Deep Learning Theory;Sample Complexity;Convolutional Neural Networks
Decision: Spotlight
Title: Large Language Models as Analogical Reasoners
Authors: Michihiro Yasunaga, Xinyun Chen, Yujia Li, Panupong Pasupat, Jure Leskovec, Percy Liang, Ed H. Chi, Denny Zhou
Affiliations: Stanford University; Google DeepMind
Conference: iclr 2024 (main track)
Keywords: large language model;prompting;analogical reasoning;reasoning
Decision: Poster
Title: OMNI: Open-endedness via Models of human Notions of Interestingness
Authors: Jenny Zhang, Joel Lehman, Kenneth Stanley, Jeff Clune
Affiliations: Stochastic Labs; 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
Conference: iclr 2024 (main track)
Keywords: Open-endedness;Auto-Curriculum Learning;Reinforcement Learning
Decision: Poster
Title: KoLA: Carefully Benchmarking World Knowledge of Large Language Models
Authors: Jifan Yu, Xiaozhi Wang, Shangqing Tu, Shulin Cao, Daniel Zhang-Li, Xin Lv, Hao Peng, Zijun Yao, Xiaohan Zhang, Hanming Li, Chunyang Li, Zheyuan Zhang, Yushi Bai, Yantao Liu, Amy Xin, Kaifeng Yun, Linlu Gong, Nianyi Lin, Jianhui Chen, Zhili Wu, Yunjia Qi, Weikai Li, Yong Guan, Kaisheng Zeng, Ji Qi, Hailong Jin, Jinxin Liu, Yu Gu, Yuan Yao, Ning Ding, Lei Hou, Zhiyuan Liu, Xu Bin, Jie Tang, Juanzi Li
Conference: iclr 2024 (main track)
Keywords: Large Language Model;World Knowledge;Evolving Benchmark
Decision: Poster
Title: FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis
Authors: Raman Dutt, Ondrej Bohdal, Sotirios Tsaftaris, Timothy Hospedales
Affiliations: The University of Edinburgh, Samsung AI Center, Cambridge; The University of Edinburgh
Conference: iclr 2024 (main track)
Keywords: Fairness;PEFT;Hyperparameter Optimization;Medical Imaging
Decision: Poster
Title: What Algorithms can Transformers Learn? A Study in Length Generalization
Authors: Hattie Zhou, Arwen Bradley, Etai Littwin, Noam Razin, Omid Saremi, Joshua Susskind, Samy Bengio, Preetum Nakkiran
Affiliations: Tel Aviv University; Apple; Apple; Mila, Université de Montréal
Conference: iclr 2024 (main track)
Keywords: length generalization;systematic generalization;understanding;transformer;scratchpad;LLM;algorithmic reasoning
Decision: Poster
Title: Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and Regression
Authors: Runtian Zhai, Bingbin Liu, Andrej Risteski, J Kolter, Pradeep K Ravikumar
Affiliations: Carnegie Mellon University
Conference: iclr 2024 (main track)
Keywords: Learning Theory;Representation Learning;Self-supervised Learning;Data Augmentation;RKHS Approximation;RKHS Regression
Decision: Spotlight
Title: Symmetric Neural-Collapse Representations with Supervised Contrastive Loss: The Impact of ReLU and Batching
Authors: Ganesh Ramachandra Kini, Vala Vakilian, Tina Behnia, Jaidev Gill, Christos Thrampoulidis
Affiliations: University of California, Santa Barbara, USA; University of British Columbia, Canada
Conference: iclr 2024 (main track)
Keywords: Supervised contrastive learning;neural collapse;implicit bias;class imbalance
Decision: Poster
Title: P2Seg: Pointly-supervised Segmentation via Mutual Distillation
Authors: Zipeng Wang, Xuehui Yu, Xumeng Han, Wenwen Yu, Zhixun Huang, Jianbin Jiao, Zhenjun Han
Affiliations: University of Chinese Academy of Sciences; Xiaomi AI Lab, Beijing, China
Conference: iclr 2024 (main track)
Keywords: Mutual Distillation;Semantic to Instance;Instance to Semantic;Point-level Supervised Instance Segmentation
Decision: Poster
Title: ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search
Authors: Yuchen Zhuang, Xiang Chen, Tong Yu, Saayan Mitra, Victor Bursztyn, Ryan Rossi, Somdeb Sarkhel, Chao Zhang
Affiliations: Georgia Institute of Technology; Adobe Research
Conference: iclr 2024 (main track)
Keywords: Large Language Model;Tool Use;Tree Search;A* Search
Decision: Poster
Title: Compressing LLMs: The Truth is Rarely Pure and Never Simple
Authors: AJAY JAISWAL, Zhe Gan, Xianzhi Du, Bowen Zhang, Zhangyang Wang, Yinfei Yang
Affiliations: University of Texas at Austin; Apple
Conference: iclr 2024 (main track)
Keywords: Compression;Large Language Models;Pruning;Quantization
Decision: Poster
Title: Hybrid Directional Graph Neural Network for Molecules
Authors: Junyi An, Chao Qu, Zhipeng Zhou, Fenglei Cao, Xu Yinghui, Yuan Qi, Furao Shen
Affiliations: State Key Laboratory for Novel Software Technology, Nanjing University; INFLY TECH (Shanghai) Co., Ltd.; Shanghai Academy of Artificial Intelligence for Science; Artificial Intelligence Innovation and Incubation (AI3) Institute, Fudan University
Conference: iclr 2024 (main track)
Keywords: Graph Neural Networks; Equivariance; Molecular model
Decision: Spotlight
Title: DP-SGD Without Clipping: The Lipschitz Neural Network Way
Authors: Louis Béthune, Thomas Massena, Thibaut Boissin, Aurélien Bellet, Franck Mamalet, Yannick Prudent, Corentin Friedrich, Mathieu Serrurier, David Vigouroux
Affiliations: Inria, Université de Montpellier; IRIT, Université Paul Sabatier, Toulouse; IRT Saint Exupéry, Toulouse
Conference: iclr 2024 (main track)
Keywords: lipschitz neural networks;dp-sgd;privacy;robustness
Decision: Poster
Title: Equivariant Scalar Fields for Molecular Docking with Fast Fourier Transforms
Authors: Bowen Jing, Tommi Jaakkola, Bonnie Berger
Affiliations: CSAIL, Massachusetts Institute of Technology; Dept. of Mathematics, Massachusetts Institute of Technology
Conference: iclr 2024 (main track)
Keywords: protein structure;structural biology;drug discovery;molecular docking
Decision: Poster
Title: CellPLM: Pre-training of Cell Language Model Beyond Single Cells
Authors: Hongzhi Wen, Wenzhuo Tang, Xinnan Dai, Jiayuan Ding, Wei Jin, Yuying Xie, Jiliang Tang
Affiliations: Michigan State University; Emory University
Conference: iclr 2024 (main track)
Keywords: Single-cell analysis;Pretrained models;AI for science
Decision: Poster
Title: LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic Constraints
Authors: Weidi Xu, Jingwei Wang, Lele Xie, Jianshan He, Hongting Zhou, Taifeng Wang, Xiaopei Wan, Jingdong Chen, Chao Qu, Wei Chu
Affiliations: Ant Group; INFLY TECH (Shanghai) Co., Ltd; BioMap Research
Conference: iclr 2024 (main track)
Keywords: Variational Inference
Decision: Poster
Title: LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset
Authors: Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Tianle Li, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zhuohan Li, Zi Lin, Eric Xing, Joseph E Gonzalez, Ion Stoica, Hao Zhang
Affiliations: UC San Diego; Stanford; Carnegie Mellon University; UC Berkeley
Conference: iclr 2024 (main track)
Keywords: large language models;dataset;conversation;safety;benchmark
Decision: Spotlight
Title: Demystifying Poisoning Backdoor Attacks from a Statistical Perspective
Authors: Ganghua Wang, Xun Xian, Ashish Kundu, Jayanth Srinivasa, Xuan Bi, Mingyi Hong, Jie Ding
Affiliations: School of Statistics, University of Minnesota; Department of ECE, University of Minnesota; Cisco Research; Carlson School of Management, University of Minnesota
Conference: iclr 2024 (main track)
Keywords: backdoor attack;machine learning safety;asymptotic;statistical risk
Decision: Poster
Title: FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimators
Authors: Haiping Wang, Yuan Liu, Bing WANG, YUJING SUN, Zhen Dong, Wenping Wang, Bisheng Yang
Affiliations: The University of Hong Kong; Texas A&M University; The Hong Kong Polytechnic University; LISMARS & Hubei Luojia Laboratory, Wuhan University
Conference: iclr 2024 (main track)
Keywords: Image-to-point cloud registration;cross-modality feature extraction;diffusion models
Decision: Poster
Title: DAFA: Distance-Aware Fair Adversarial Training
Authors: Hyungyu Lee, Saehyung Lee, Hyemi Jang, Junsung Park, Ho Bae, Sungroh Yoon
Affiliations: Electrical and Computer Engineering, Seoul National University; Interdisciplinary Program in Artificial Intelligence, Seoul National University; Department of Cyber Security, Ewha Womans University
Conference: iclr 2024 (main track)
Keywords: adversarial robustness;robust fairness;adversarial examples;adversarial training
Decision: Poster
Title: What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning
Authors: Wei Liu, Weihao Zeng, Keqing He, Yong Jiang, Junxian He
Affiliations: Beijing University of Posts and Telecommunications; Alibaba Group; ShanghaiTech University; The Hong Kong University of Science and Technology; Meituan
Conference: iclr 2024 (main track)
Keywords: data selection;instruction tuning;large language models
Decision: Poster
Title: Accelerating Distributed Stochastic Optimization via Self-Repellent Random Walks
Authors: Jie Hu, Vishwaraj Doshi, Do Young Eun
Affiliations: North Carolina State University; IQVIA Inc.
Conference: iclr 2024 (main track)
Keywords: Distributed Learning;Self-Repellent Random Walk;Token Algorithm;Central Limit Theorem;Asymptotic Analysis
Decision: Oral
Title: Provably Robust Conformal Prediction with Improved Efficiency
Authors: Ge Yan, Yaniv Romano, Tsui-Wei Weng
Affiliations: CSE, UCSD; HDSI, UCSD; ECE, Technion
Conference: iclr 2024 (main track)
Keywords: Conformal prediction;randomized smoothing;adversarial robustness
Decision: Poster
Title: Fine-tuning Multimodal LLMs to Follow Zero-shot Demonstrative Instructions
Authors: Juncheng Li, Kaihang Pan, Zhiqi Ge, Minghe Gao, Wei Ji, Wenqiao Zhang, Tat-Seng Chua, Siliang Tang, Hanwang Zhang, Yueting Zhuang
Affiliations: Nanyang Technological University; National University of Singapore; Zhejiang University
Conference: iclr 2024 (main track)
Keywords: Multimodal Large Language Models;Demonstrative Instruction
Decision: Spotlight
Title: AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos?
Authors: Qi Zhao, Shijie Wang, Ce Zhang, Changcheng Fu, Minh Quan Do, Nakul Agarwal, Kwonjoon Lee, Chen Sun
Affiliations: Brown University; Honda Research Institute
Conference: iclr 2024 (main track)
Keywords: long-term action anticipation;multimodal learning
Decision: Poster
Title: An improved analysis of per-sample and per-update clipping in federated learning
Authors: Bo Li, Xiaowen Jiang, Mikkel N. Schmidt, Tommy Sonne Alstrøm, Sebastian Stich
Affiliations: DTU; CISPA
Conference: iclr 2024 (main track)
Keywords: optimization;clipping;federated learning;decentralized learning;distributed optimization
Decision: Poster
Title: WildChat: 1M ChatGPT Interaction Logs in the Wild
Authors: Wenting Zhao, Xiang Ren, Jack Hessel, Claire Cardie, Yejin Choi, Yuntian Deng
Affiliations: Cornell University; Allen Institute for Artificial Intelligence, University of Southern California; Allen Institute for Artificial Intelligence; Allen Institute for Artificial Intelligence, University of Washington
Conference: iclr 2024 (main track)
Keywords: dataset;dialogues;chatbot;ChatGPT;instruction tuning;toxicity;AI safety
Decision: Spotlight
Title: A Fast and Provable Algorithm for Sparse Phase Retrieval
Authors: Jian-Feng Cai, Yu Long, Ruixue WEN, Jiaxi Ying
Affiliations: Hong Kong University of Science and Technology; Guangxi University; Hong Kong University of Science and Technology, HKUST Shenzhen-Hong Kong Collaborative Innovation Research Institute
Conference: iclr 2024 (main track)
Keywords: Sparse Phase Retrieval;Quadratic Convergence;Newton-type Method;Hard Thresholding;Nonconvex Optimization
Decision: Poster
Title: Complete and Efficient Graph Transformers for Crystal Material Property Prediction
Authors: Keqiang Yan, Cong Fu, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji
Affiliations: Texas A&M University, College Station, TX 77843, USA
Conference: iclr 2024 (main track)
Keywords: crystal material property prediction;geometric graph representation learning
Decision: Poster
Title: Out-Of-Domain Unlabeled Data Improves Generalization
Authors: seyed amir hossein saberi, Amir Najafi, Alireza Heidari, Mohammad Hosein Movasaghinia, Abolfazl Motahari, Babak HosseinKhalaj
Affiliations: Department of Computer Engineering, Sharif University of Technology, Tehran, Iran; Department of Computer Engineering, Sharif Institute for Convergence Science & Technology, Sharif University of Technology, Tehran, Iran; Department of Electrical Engineering, Sharif Center for Information Systems and Data Science, Sharif University of Technology, Tehran, Iran; Sharif Center for Information Systems and Data Science, Sharif Institute for Convergence Science & Technology, Sharif University of Technology, Tehran, Iran
Conference: iclr 2024 (main track)
Keywords: Out-of-domain data;Semi-supervised learing;learning theory;generalization bound;adversarial robustness
Decision: Spotlight
Title: Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature
Authors: Guangsheng Bao, Yanbin Zhao, Zhiyang Teng, Linyi Yang, Yue Zhang
Affiliations: Nanyang Technological University; Institute of Advanced Technology, Westlake Institute for Advanced Study; School of Engineering, Westlake University; School of Mathematics, Physics and Statistics, Shanghai Polytechnic University
Conference: iclr 2024 (main track)
Keywords: Fake Detection;Machine-Generated Text Detection;Zero-Shot Detection
Decision: Poster
Title: Stochastic Modified Equations and Dynamics of Dropout Algorithm
Authors: Zhongwang Zhang, Yuqing Li, Tao Luo, Zhiqin Xu
Affiliations: Institute of Natural Sciences, MOE-LSC, Shanghai Jiao Tong University; School of Mathematical Sciences, Shanghai Jiao Tong University; Qing Yuan Research Institute, Shanghai Jiao Tong University; CMA-Shanghai, Shanghai Jiao Tong University
Conference: iclr 2024 (main track)
Keywords: Stochastic modified equations;dropout;noise structure;flatness
Decision: Poster
Title: Enhancing Human Experience in Human-Agent Collaboration: A Human-Centered Modeling Approach Based on Positive Human Gain
Authors: Yiming Gao, Feiyu Liu, Liang Wang, Dehua Zheng, Zhenjie Lian, Weixuan Wang, Wenjin Yang, Siqin Li, Xianliang Wang, Wenhui Chen, Jing Dai, QIANG FU, Yang Wei, Lanxiao Huang, Wei Liu
Affiliations: Tencent AI Lab, Shenzhen, China; Tencent TiMi L1 Studio, Chengdu, China
Conference: iclr 2024 (main track)
Keywords: human enhancement;human-agent collaboration;game playing;deep reinforcement learning
Decision: Poster
Title: LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and Generation
Authors: Suhyeon Lee, Won Jun Kim, Jinho Chang, Jong Ye
Affiliations: Korea Advanced Institute of Science & Technology
Conference: iclr 2024 (main track)
Keywords: large language model;multimodal;medical imaging;chest X-ray;bidirectional;instruction-tuning;vision-question answering
Decision: Poster
Title: Multimodal Learning Without Labeled Multimodal Data: Guarantees and Applications
Authors: Paul Liang, Chun Kai Ling, Yun Cheng, Alexander Obolenskiy, Yudong Liu, Rohan Pandey, Alex Wilf, Louis-Philippe Morency, Russ Salakhutdinov
Affiliations: Princeton University; Carnegie Mellon University; Columbia University
Conference: iclr 2024 (main track)
Keywords: multimodal learning;multimodal interactions;information theory;self-supervised learning;multimodal fusion
Decision: Poster
Title: Solving Diffusion ODEs with Optimal Boundary Conditions for Better Image Super-Resolution
Authors: Yiyang Ma, Huan Yang, Wenhan Yang, Jianlong Fu, Jiaying Liu
Affiliations: Microsoft Research; Pengcheng Laboratory; Wangxuan Institute of Computer Technology, Peking University
Conference: iclr 2024 (main track)
Keywords: diffusion models;diffusion ODE;image super-resolution
Decision: Poster
Title: Causal-StoNet: Causal Inference for High-Dimensional Complex Data
Authors: Yaxin Fang, Faming Liang
Affiliations: Department of Statistics, Purdue University, West Lafayette, IN 47907, USA
Conference: iclr 2024 (main track)
Keywords: Causal Information;Stochastic Neural Network;Adaptive Stochastic Gradient MCMC;Sparsity;Missing Data
Decision: Poster
Title: Inducing High Energy-Latency of Large Vision-Language Models with Verbose Images
Authors: Kuofeng Gao, Yang Bai, Jindong Gu, Shu-Tao Xia, Philip Torr, Zhifeng Li, Wei Liu
Conference: iclr 2024 (main track)
Keywords: energy-latency manipulation; large vision-language model; verbose images
Decision: Poster
Title: Benign Overfitting and Grokking in ReLU Networks for XOR Cluster Data
Authors: Zhiwei Xu, Yutong Wang, Spencer Frei, Gal Vardi, Wei Hu
Affiliations: University of Michigan; TTI-Chicago and Hebrew University; University of California, Davis
Conference: iclr 2024 (main track)
Keywords: benign overfitting;grokking;neural networks;feature learning;interpolation;theory
Decision: Poster
Title: PARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human Feedback
Authors: Souradip Chakraborty, Amrit Bedi, Alec Koppel, Huazheng Wang, Dinesh Manocha, Mengdi Wang, Furong Huang
Affiliations: Princeton University; J.P. Morgan AI Research; University of Maryland, College Park; Oregon State University; University of Central Florida
Conference: iclr 2024 (main track)
Keywords: Reinforcement Learning;Policy optimization;Policy alignment;Preference based RL;RLHF
Decision: Poster
Title: Mitigating the Curse of Dimensionality for Certified Robustness via Dual Randomized Smoothing
Authors: Song Xia, Yi Yu, Jiang Xudong, Henghui Ding
Conference: iclr 2024 (main track)
Keywords: Certified Robustness;DualRandomized Smoothing;Curse of Diemensionality.
Decision: Poster
Title: The Lipschitz-Variance-Margin Tradeoff for Enhanced Randomized Smoothing
Authors: Blaise Delattre, Alexandre Araujo, Quentin Barthélemy, Alexandre Allauzen
Affiliations: 3ECE, New York University, NY, USA; 1Foxstream, Vaulx-en-Velin, France; 2Miles Team, LAMSADE, Université Paris-Dauphine, PSL University, Paris, France; 4ESPCI PSL, Paris, France
Conference: iclr 2024 (main track)
Keywords: Lipschitz;randomized smoothing;margin;variance;deep learning
Decision: Poster
Title: Str2Str: A Score-based Framework for Zero-shot Protein Conformation Sampling
Authors: Jiarui Lu, Bozitao Zhong, Zuobai Zhang, Jian Tang
Affiliations: Mila - Quebec AI Institute, HEC Montreal, CIFAR AI Chair; Mila - Quebec AI Institute, Universite de Montreal
Conference: iclr 2024 (main track)
Keywords: proteins;conformational sampling;diffusion models;score-based models;generative modeling;equivariant network
Decision: Poster
Title: Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX
Authors: Clément Bonnet, Daniel Luo, Donal Byrne, Shikha Surana, Paul Duckworth, Vincent Coyette, Laurence Midgley, Sasha Abramowitz, Elshadai Tegegn, Tristan Kalloniatis, Omayma Mahjoub, Matthew Macfarlane, Andries Smit, Nathan Grinsztajn, Raphael Boige, Cemlyn Waters, Mohamed Ali Mimouni, Ulrich Mbou Sob, Ruan de Kock, Siddarth Singh, Daniel Furelos-Blanco, Victor Le, Arnu Pretorius, Alexandre Laterre
Affiliations: University of Cambridge; University of Amsterdam; InstaDeep; Imperial College London
Conference: iclr 2024 (main track)
Keywords: reinforcement learning;jax;combinatorial;research
Decision: Poster