hunoutl/paperlists huggingface dataset:
Title: Robust Similarity Learning with Difference Alignment Regularization
Authors: Shuo Chen, Gang Niu, Chen Gong, Okan Koc, Jian Yang, Masashi Sugiyama
Affiliations: RIKEN Center for Advanced Intelligence Project, Tokyo, Japan; Nanjing University of Science and Technology, Nanjing, China; The University of Tokyo, Tokyo, Japan
Conference: iclr 2024 (main track)
Keywords: contrastive learning;metric learning;regularization
Decision: Poster
Title: VersVideo: Leveraging Enhanced Temporal Diffusion Models for Versatile Video Generation
Authors: Jinxi Xiang, Ricong Huang, Jun Zhang, Guanbin Li, Xiao Han, Yang Wei
Affiliations: Tencent AI Lab, Shenzhen, China; School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China
Conference: iclr 2024 (main track)
Keywords: video generation;diffusion model;temproal modeling
Decision: Poster
Title: Data Filtering Networks
Authors: Alex Fang, Albin Madappally Jose, Amit Jain, Ludwig Schmidt, Alexander Toshev, Vaishaal Shankar
Affiliations: 1Apple∗2University of Washington; 2University of Washington; 1Apple
Conference: iclr 2024 (main track)
Keywords: datasets;dataset filtering;dataset curation;large scale machine learning
Decision: Poster
Title: Diving Segmentation Model into Pixels
Authors: Chen Gan, Zihao Yin, Kelei He, Yang Gao, Junfeng Zhang
Affiliations: State Key Laboratory for Novel Software Technology, Nanjing University; Medical School of Nanjing University
Conference: iclr 2024 (main track)
Keywords: Semantic Segmentation;Pixel Learning;Representation Learning;Contrastive Learning
Decision: Poster
Title: A Cognitive Model for Learning Abstract Relational Structures from Memory-based Decision-Making Tasks
Authors: Haruo Hosoya
Affiliations: Department of Dynamic Brain Imaging, ATR International, Japan; WebLab, Graduate School of Engineering, The University of Tokyo, Japan
Conference: iclr 2024 (main track)
Keywords: Brain-inspired model; hippocampus; entorhinal cortex; memory; relational representation
Decision: Poster
Title: At Which Training Stage Does Code Data Help LLMs Reasoning?
Authors: ma yingwei, Yue Liu, Yue Yu, Yuanliang Zhang, Yu Jiang, Changjian Wang, Shanshan Li
Affiliations: Peng Cheng Laboratory; National University of Defense Technology; Tsinghua University
Conference: iclr 2024 (main track)
Keywords: code data;large language models;reasoning capabilities
Decision: Spotlight
Title: Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization
Authors: Weiran Yao, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Yihao Feng, Le Xue, Rithesh Murthy, Zeyuan Chen, Jianguo Zhang, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese
Affiliations: Salesforce AI Research
Conference: iclr 2024 (main track)
Keywords: Language Agent;AI Agent;Reinforcement Learning
Decision: Spotlight
Title: LEAP: Liberate Sparse-View 3D Modeling from Camera Poses
Authors: Hanwen Jiang, Zhenyu Jiang, Yue Zhao, Qixing Huang
Affiliations: Department of Computer Sciences, University of Texas at Austin
Conference: iclr 2024 (main track)
Keywords: 3D Reconstruction;Sparse-view 3D;Generalizable NeRF;Pose-free;Camera Pose
Decision: Poster
Title: Learning from Label Proportions: Bootstrapping Supervised Learners via Belief Propagation
Authors: Shreyas Havaldar, Navodita Sharma, Shubhi Sareen, Karthikeyan Shanmugam, Aravindan Raghuveer
Affiliations: Google India; Google Research India
Conference: iclr 2024 (main track)
Keywords: Learning from Label Proportions;Belief Propagation;Pseudo-Labeling;Embedding Learning
Decision: Poster
Title: Memorization in Self-Supervised Learning Improves Downstream Generalization
Authors: Wenhao Wang, Muhammad Ahmad Kaleem, Adam Dziedzic, Michael Backes, Nicolas Papernot, Franziska Boenisch
Affiliations: University of Toronto and Vector Institute; CISPA
Conference: iclr 2024 (main track)
Keywords: self-supervised learning;memorization;encoders;generalization;ssl
Decision: Poster
Title: CORN: Contact-based Object Representation for Nonprehensile Manipulation of General Unseen Objects
Authors: Yoonyoung Cho, Junhyek Han, Yoontae Cho, Beomjoon Kim
Affiliations: Korea Advanced Institute of Science and Technology
Conference: iclr 2024 (main track)
Keywords: pretraining;robotics;manipulation;object representation;representation learning
Decision: Poster
Title: MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts
Authors: Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chunyuan Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, Jianfeng Gao
Affiliations: Microsoft Research, Redmond; University of Washington; UCLA
Conference: iclr 2024 (main track)
Keywords: large language models;large multimodal models;mathematical reasoning;vision-language reasoning;foundation models and their evaluations
Decision: Oral
Title: Constraint-Free Structure Learning with Smooth Acyclic Orientations
Authors: Riccardo Massidda, Francesco Landolfi, Martina Cinquini, Davide Bacciu
Affiliations: Department of Computer Science, Università di Pisa, Italy
Conference: iclr 2024 (main track)
Keywords: Structure Learning;Continuous Acyclic Optimization;Directed Acyclic Graphs;DAG
Decision: Poster
Title: NetInfoF Framework: Measuring and Exploiting Network Usable Information
Authors: Meng-Chieh Lee, Haiyang Yu, Jian Zhang, Vassilis N. Ioannidis, Xiang song, Soji Adeshina, Da Zheng, Christos Faloutsos
Affiliations: Texas A&M University; Carnegie Mellon University; Amazon; Carnegie Mellon University, Amazon
Conference: iclr 2024 (main track)
Keywords: Graph Neural Networks;Information Theory;Heterophily Graphs
Decision: Spotlight
Title: Depthwise Hyperparameter Transfer in Residual Networks: Dynamics and Scaling Limit
Authors: Blake Bordelon, Lorenzo Noci, Mufan Li, Boris Hanin, Cengiz Pehlevan
Affiliations: Harvard University; Princeton University; ETH Zürich
Conference: iclr 2024 (main track)
Keywords: Deep Learning Theory;Hyperparameter Transfer;Training Dynamics;Residual Networks
Decision: Poster
Title: SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training
Authors: Kazem Meidani, Parshin Shojaee, Chandan Reddy, Amir Barati Farimani
Affiliations: Department of Computer Science, Virginia Tech; Department of Mechanical Engineering, Carnegie Mellon University; Machine Learning Department, Carnegie Mellon University
Conference: iclr 2024 (main track)
Keywords: Symbolic Mathematics;Pre-training;Transformers;Symbolic Regression;Deep Learning
Decision: Spotlight
Title: Online GNN Evaluation Under Test-time Graph Distribution Shifts
Authors: Xin Zheng, Dongjin Song, Qingsong Wen, Bo Du, Shirui Pan
Affiliations: Monash University, Melbourne, Australia; Squirrel AI, Bellevue, USA; Griffith University, Queensland, Australia; University of Connecticut, Storrs, USA; Wuhan University, Wuhan, China
Conference: iclr 2024 (main track)
Keywords: Graph neural networks;Model evaluation;Distribution shift
Decision: Spotlight
Title: ReTaSA: A Nonparametric Functional Estimation Approach for Addressing Continuous Target Shift
Authors: Hwanwoo Kim, Xin Zhang, Jiwei Zhao, Qinglong Tian
Affiliations: University of Chicago; Meta, Inc.; University of Wisconsin-Madison; University of Waterloo
Conference: iclr 2024 (main track)
Keywords: label shift;target shift;distributional shift;domain adaptation;transfer learning;importance weight
Decision: Poster
Title: Language Model Cascades: Token-Level Uncertainty And Beyond
Authors: Neha Gupta, Harikrishna Narasimhan, Wittawat Jitkrittum, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar
Affiliations: Google Research, New York
Conference: iclr 2024 (main track)
Keywords: Cascades;Efficient Inference;Language Models
Decision: Poster
Title: Cascading Reinforcement Learning
Authors: Yihan Du, R. Srikant, Wei Chen
Affiliations: Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA; Microsoft Research, Beijing 100080, China
Conference: iclr 2024 (main track)
Keywords: reinforcement learning;cascading bandits;combinatorial action space;computational and sample efficiency
Decision: Spotlight
Title: An Extensible Framework for Open Heterogeneous Collaborative Perception
Authors: Yifan Lu, Yue Hu, Yiqi Zhong, Dequan Wang, Yanfeng Wang, Siheng Chen
Affiliations: University of Southern California; Shanghai Jiao Tong University, Shanghai AI Lab; Shanghai Jiao Tong University, Shanghai AI Lab, Multi-Agent Governance & Intelligence Crew (MAGIC); Shanghai Jiao Tong University, Multi-Agent Governance & Intelligence Crew (MAGIC)
Conference: iclr 2024 (main track)
Keywords: Collaborative Perception;Sensor and Model Heterogeneity
Decision: Poster
Title: FedHyper: A Universal and Robust Learning Rate Scheduler for Federated Learning with Hypergradient Descent
Authors: Ziyao Wang, Jianyu Wang, Ang Li
Affiliations: University of Maryland, College Park; Apple
Conference: iclr 2024 (main track)
Keywords: Federate Learning;Learning rate;Hyperparameter;Hypergradient
Decision: Poster
Title: Generative Pre-training for Speech with Flow Matching
Authors: Alexander Liu, Matthew Le, Apoorv Vyas, Bowen Shi, Andros Tjandra, Wei-Ning Hsu
Affiliations: Meta AI; MIT CSAIL
Conference: iclr 2024 (main track)
Keywords: speech pre-training;speech generation;generative pre-training;flow matching
Decision: Poster
Title: Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models
Authors: Gabriele Corso, Yilun Xu, Valentin De Bortoli, Regina Barzilay, Tommi Jaakkola
Affiliations: CSAIL, Massachusetts Institute of Technology; ENS, PSL University
Conference: iclr 2024 (main track)
Keywords: diffusion models;score-based models;diversity;guidance;conformer generation;image generation
Decision: Poster
Title: Rotational Equilibrium: How Weight Decay Balances Learning Across Neural Networks
Affiliations: Paper under double-blind review
Conference: iclr 2024 (main track)
Keywords: Learning dynamics of deep neural networks;weight decay;normalization;effective learning rate;AdamW;Adam with L2 regularization;spherical motion dynamics;optimization;training;scale invariance;equilibrium;rotational;SGDM;Lion
Decision: Reject
Title: MetaPhysiCa: Improving OOD Robustness in Physics-informed Machine Learning
Authors: S Chandra Mouli, Muhammad Alam, Bruno Ribeiro
Affiliations: Department of Computer Science, Purdue University, Indiana, US; Department of Electrical and Computer Engineering, Purdue University, Indiana, US
Conference: iclr 2024 (main track)
Keywords: physics-informed machine learning;OOD robustness;meta learning;causal structure discovery
Decision: Spotlight
Title: The Wasserstein Believer: Learning Belief Updates for Partially Observable Environments through Reliable Latent Space Models
Authors: Raphael Avalos, Florent Delgrange, Ann Nowe, Guillermo Perez, Diederik M. Roijers
Affiliations: AI Lab, Vrije Universiteit Brussel (Belgium); Flanders Make (Belgium); University of Antwerp (Belgium); City of Amsterdam (The Netherlands)
Conference: iclr 2024 (main track)
Keywords: pomdp;guarantees;representation learning;reinforcement learning
Decision: Poster
Title: Thin-Shell Object Manipulations With Differentiable Physics Simulations
Authors: Yian Wang, Juntian Zheng, Zhehuan Chen, Zhou Xian, Gu Zhang, Chao Liu, Chuang Gan
Affiliations: MIT; Peking University; CMU; Tsinghua University; SJTU; Umass Amherst; MIT-IBM
Conference: iclr 2024 (main track)
Keywords: differentiable physics simulation;thin-shell object manipulation
Decision: Spotlight
Title: Large Multilingual Models Pivot Zero-Shot Multimodal Learning across Languages
Authors: Jinyi Hu, Yuan Yao, Chongyi Wang, SHAN WANG, Yinxu Pan, Qianyu Chen, Tianyu Yu, Hanghao Wu, Yue Zhao, Haoye Zhang, Xu Han, Yankai Lin, Jiao Xue, dahai li, Zhiyuan Liu, Maosong Sun
Affiliations: Zhihu Inc.; Beijing University of Posts and Telecommunications; Tsinghua University; ModelBest Inc.; Renmin University of China; Tsinghua University/Shanghai Artificial Intelligence Laboratory
Conference: iclr 2024 (main track)
Keywords: Large Multimodal Models;Multilingual Transfer
Decision: Spotlight
Title: Accelerating Sinkhorn algorithm with sparse Newton iterations
Authors: Xun Tang, Michael Shavlovsky, Holakou Rahmanian, Elisa Tardini, Kiran Thekumparampil, Tesi Xiao, Lexing Ying
Affiliations: Stanford University; Amazon
Conference: iclr 2024 (main track)
Keywords: Optimal transport;Convex optimization;Quasi-Newton methods;Non-asymptotic analysis;Extremal combinatorics
Decision: Poster
Title: The False Promise of Imitating Proprietary Language Models
Authors: Arnav Gudibande, Eric Wallace, Charlie Snell, Xinyang Geng, Hao Liu, Pieter Abbeel, Sergey Levine, Dawn Song
Affiliations: UC Berkeley
Conference: iclr 2024 (main track)
Keywords: Language Models;Model Imitation;Distillation;Instruction-Tuning
Decision: Spotlight
Title: Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering
Authors: Han Zhou, Xingchen Wan, Lev Proleev, Diana Mincu, Jilin Chen, Katherine Heller, Subhrajit Roy
Affiliations: Google Research, University of Cambridge; Google Research
Conference: iclr 2024 (main track)
Keywords: large language model;in-context learning;calibration;prompt
Decision: Poster
Title: Rephrase, Augment, Reason: Visual Grounding of Questions for Vision-Language Models
Authors: Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal
Affiliations: Department of Computer Science, University of North Carolina at Chapel Hill
Conference: iclr 2024 (main track)
Keywords: visual question answering;zero-shot;large vision language models;visual reasoning;underspecification;grounding language to vision
Decision: Poster
Title: ODICE: Revealing the Mystery of Distribution Correction Estimation via Orthogonal-gradient Update
Authors: Liyuan Mao, Haoran Xu, Weinan Zhang, Xianyuan Zhan
Affiliations: The University of Texas at Austin; Shanghai Jiao Tong University; Institute for AI Industry Research (AIR), Tsinghua University and Shanghai Artificial Intelligence Laboratory
Conference: iclr 2024 (main track)
Keywords: offline reinforcement learning;imitation learning;distribution correction estimation
Decision: Spotlight
Title: Concept Bottleneck Generative Models
Authors: Aya Abdelsalam Ismail, Julius Adebayo, Hector Corrada Bravo, Stephen Ra, Kyunghyun Cho
Affiliations: Genentech; Department of Computer Science, New York University, Center for Data Science, New York University, Genentech, Prescient Design; Genentech, Prescient Design; Guide Labs
Conference: iclr 2024 (main track)
Keywords: Interpretability;generative models
Decision: Poster
Title: SWAP: Sparse Entropic Wasserstein Regression for Robust Network Pruning
Authors: Lei You, Hei Victor Cheng
Affiliations: Department of Electrical and Computer Engineering, Aarhus Universrity, Aarhus, DK-8200, Denmark; Department of Engineering Technology, Technical University of Denmark, Ballerup, DK-2750, Denmark
Conference: iclr 2024 (main track)
Keywords: Network Pruning;Model Compression;Optimal Transport;Wasserstein Distance;Deep Learning
Decision: Poster
Title: Beyond Imitation: Leveraging Fine-grained Quality Signals for Alignment
Authors: Geyang Guo, Ranchi Zhao, Tianyi Tang, Xin Zhao, Ji-Rong Wen
Affiliations: Gaoling School of Artificial Intelligence, Renmin University of China; Gaoling School of Artificial Intelligence, Renmin University of China; School of Information, Renmin University of China
Conference: iclr 2024 (main track)
Keywords: large language models;alignment;fine-grained SFT
Decision: Poster
Title: CCIL: Continuity-Based Data Augmentation for Corrective Imitation Learning
Authors: Liyiming Ke, Yunchu Zhang, Abhay Deshpande, Siddhartha Srinivasa, Abhishek Gupta
Affiliations: Paul G. Allen School of Computer Science and Engineering, University of Washington
Conference: iclr 2024 (main track)
Keywords: imitation learning;data augmentation;robotics;model-based method
Decision: Poster
Title: SineNet: Learning Temporal Dynamics in Time-Dependent Partial Differential Equations
Authors: Xuan Zhang, Jacob Helwig, Yuchao Lin, Yaochen Xie, Cong Fu, Stephan Wojtowytsch, Shuiwang Ji
Affiliations: Department of Mathematics, University of Pittsburgh; Department of Computer Science & Engineering, Texas A&M University
Conference: iclr 2024 (main track)
Keywords: Partial differential equations;Physics simulation;Dynamics learning
Decision: Poster
Title: Masked Distillation Advances Self-Supervised Transformer Architecture Search
Authors: Caixia Yan, Xiaojun Chang, Zhihui Li, Lina Yao, Minnan Luo, Qinghua Zheng
Affiliations: University of Science and Technology of China, Mohamed bin Zayed University of Artificial Intelligence; CSIRO's Data61, University of New South Wales; School of Information Science and Technology, University of Science and Technology of China; School of Computer Science and Technology, MOEKLINNS Laboratory, Xi'an Jiaotong University
Conference: iclr 2024 (main track)
Keywords: Knowledge Distillation;Self-supervised Learning
Decision: Poster
Title: Attention-Guided Contrastive Role Representations for Multi-agent Reinforcement Learning
Authors: Zican Hu, Zongzhang Zhang, Huaxiong Li, Chunlin Chen, Hongyu Ding, Zhi Wang
Affiliations: Department of Control Science and Intelligent Engineering, Nanjing University; School of Artificial Intelligence, Nanjing University
Conference: iclr 2024 (main track)
Keywords: Multi-agent reinforcement learning;contrastive learning;attention mechanism
Decision: Poster
Title: A Black-box Approach for Non-stationary Multi-agent Reinforcement Learning
Authors: Haozhe Jiang, Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon Du
Affiliations: University of Washington; Institute for Interdisciplinary Information Sciences, Tsinghua University
Conference: iclr 2024 (main track)
Keywords: regret analysis;learning in non-stationary games;bandit feedback
Decision: Poster
Title: In-Context Pretraining: Language Modeling Beyond Document Boundaries
Authors: Weijia Shi, Sewon Min, Maria Lomeli, Chunting Zhou, Margaret Li, Xi Lin, Noah Smith, Luke Zettlemoyer, Scott Yih, Mike Lewis
Affiliations: Meta AI; University of Washington, Allen Institute for AI; Meta AI, University of Washington
Conference: iclr 2024 (main track)
Keywords: Large Language Models
Decision: Spotlight
Title: Zoology: Measuring and Improving Recall in Efficient Language Models
Authors: Simran Arora, Sabri Eyuboglu, Aman Timalsina, Isys Johnson, Michael Poli, James Y Zou, Atri Rudra, Christopher Re
Affiliations: Department of Computer Science, Stanford University; Department of Computer Science and Engineering, University at Buffalo
Conference: iclr 2024 (main track)
Keywords: nlp;language models;representation learning;in-context learning
Decision: Poster
Title: H-GAP: Humanoid Control with a Generalist Planner
Authors: Zhengyao Jiang, Yingchen Xu, Nolan Wagener, Yicheng Luo, Michael Janner, Edward Grefenstette, Tim Rocktaeschel, Yuandong Tian
Affiliations: Georgia Institute of Technology; University College London; University College London, Weco AI; University College London, AI at Meta; AI at Meta; University of California at Berkeley
Conference: iclr 2024 (main track)
Keywords: Generative Modelling;Humanoid Control;Model Predictive Control;Model-based Reinforcement Learning;Offline Reinforcement Learning
Decision: Spotlight
Title: JoMA: Demystifying Multilayer Transformers via Joint Dynamics of MLP and Attention
Authors: Yuandong Tian, Yiping Wang, Zhenyu Zhang, Beidi Chen, Simon Du
Affiliations: University of Texas at Austin; AI@Meta (FAIR); University of Washington; Carnegie Mellon University, AI@Meta (FAIR)
Conference: iclr 2024 (main track)
Keywords: multilayer transformer;training dynamics;theoretical analysis;self-attention;interpretability;neural network understanding
Decision: Poster
Title: Delta-AI: Local objectives for amortized inference in sparse graphical models
Authors: Jean-Pierre Falet, Hae Beom Lee, Nikolay Malkin, Chen Sun, Dragos Secrieru, Dinghuai Zhang, Guillaume Lajoie, Yoshua Bengio
Affiliations: Not provided in the text; Mila – Quebec AI Institute, Université de Montréal
Conference: iclr 2024 (main track)
Keywords: amortized inference;variational inference;graphical models;Markov random fields;generative flow networks;GFlowNets
Decision: Poster
Title: Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models
Authors: Kyuyoung Kim, Jongheon Jeong, Minyong An, Mohammad Ghavamzadeh, Krishnamurthy Dvijotham, Jinwoo Shin, Kimin Lee
Affiliations: Yonsei University; Korea University; KAIST; Google DeepMind; Amazon
Conference: iclr 2024 (main track)
Keywords: text-to-image generation;overoptimization;confidence calibration
Decision: Poster
Title: Layer-wise linear mode connectivity
Authors: Linara Adilova, Maksym Andriushchenko, Michael Kamp, Asja Fischer, Martin Jaggi
Affiliations: Ruhr University Bochum, EPFL; EPFL; IKIM UK Essen, RUB, and Monash University; Ruhr University Bochum
Conference: iclr 2024 (main track)
Keywords: linear mode connectivity;layer-wise;federated averaging
Decision: Poster
Title: Transformer Fusion with Optimal Transport
Authors: Moritz Imfeld, Jacopo Graldi, Marco Giordano, Thomas Hofmann, Sotiris Anagnostidis, Sidak Pal Singh
Affiliations: ETH Zurich, Switzerland
Conference: iclr 2024 (main track)
Keywords: Fusion;Transformers;Model Merging
Decision: Poster
Title: Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning
Authors: Hyungho Na, Yunkyeong Seo, Il-chul Moon
Affiliations: Korea Advanced Institute of Science and Technology (KAIST); Korea Advanced Institute of Science and Technology (KAIST), summary.ai
Conference: iclr 2024 (main track)
Keywords: Multi-agent reinforcement learning;episodic control;episodic incentive;state embedding
Decision: Oral
Title: A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks
Authors: Jintang Li, Huizhe Zhang, Ruofan Wu, Zulun Zhu, Baokun Wang, Changhua Meng, Zibin Zheng, Liang Chen
Affiliations: Nanyang Technological University; Sun Yat-sen University; Ant Group
Conference: iclr 2024 (main track)
Keywords: Graph contrastive learning;spiking neural networks;binarized graph representation learning
Decision: Poster
Title: 3D Feature Prediction for Masked-AutoEncoder-Based Point Cloud Pretraining
Authors: Siming Yan, Yuqi Yang, Yu-Xiao Guo, Hao Pan, Peng-Shuai Wang, 童欣 TONG XIN, Yang Liu, Qixing Huang
Affiliations: †The University of Texas at Austin; ‡Microsoft Research Asia; ◦Peking University
Conference: iclr 2024 (main track)
Keywords: point cloud;point cloud self-supervised learning;point cloud pre-training
Decision: Poster
Title: Bilevel Optimization under Unbounded Smoothness: A New Algorithm and Convergence Analysis
Authors: Jie Hao, Xiaochuan Gong, Mingrui Liu
Affiliations: Department of Computer Science, George Mason University, Fairfax, VA 22030, USA
Conference: iclr 2024 (main track)
Keywords: Bilevel Optimization;Unbounded Smoothness;Deep Learning
Decision: Spotlight
Title: LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving
Authors: Tianyu Li, Peijin Jia, Bangjun Wang, Li Chen, Kun Jiang, Junchi Yan, Hongyang Li
Affiliations: Fudan University, OpenDriveLab; OpenDriveLab; Shanghai Jiao Tong University; Tsinghua University; Shanghai Jiao Tong University, OpenDriveLab
Conference: iclr 2024 (main track)
Keywords: Laneline detection;autonomous driving;topology reasoning
Decision: Poster
Title: Unraveling the Key Components of OOD Generalization via Diversification
Authors: Harold Benoit, Liangze Jiang, Andrei Atanov, Oguzhan Kar, Mattia Rigotti, Amir Zamir
Affiliations: Swiss Federal Institute of Technology (EPFL); IBM Research
Conference: iclr 2024 (main track)
Keywords: Algorithm Design;Diversity;OOD Generalization;Spurious Correlation;Understanding Neural Networks
Decision: Poster
Title: LoftQ: LoRA-Fine-Tuning-aware Quantization for Large Language Models
Authors: Yixiao Li, Yifan Yu, Chen Liang, Nikos Karampatziakis, Pengcheng He, Weizhu Chen, Tuo Zhao
Affiliations: Georgia Institute of Technology; Microsoft Azure
Conference: iclr 2024 (main track)
Keywords: quantization;compression;large language models;NLP;machine learning;low rank
Decision: Oral