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ICLR 2024

A*

International Conference on Learning Representations

Official site ↗
2,454
accepted papers
9,710
authors
May 07-11, 2024
dates
Austria
location

300 / 2,454 papers

  1. 1
    "What Data Benefits My Classifier?" Enhancing Model Performance and Interpretability through Influence-Based Data Selection
    Anshuman Chhabra
    ,
    Peizhao Li
    ,
    Prasant Mohapatra
    ,
    Hongfu Liu
  2. 2
    #InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models
    Keming Lu
    ,
    Hongyi Yuan
    ,
    Zheng Yuan
    ,
    Runji Lin
    ,
    Junyang Lin
    ,
    Chuanqi Tan
    ,
    Chang Zhou
    ,
    Jingren Zhou
  3. 3
    $t3$-Variational Autoencoder: Learning Heavy-tailed Data with Student's t and Power Divergence
    Juno Kim
    ,
    Jaehyuk Kwon
    ,
    Mincheol Cho
    ,
    Hyunjong Lee
    ,
    Joong-Ho Won
  4. 4
    3D Feature Prediction for Masked-AutoEncoder-Based Point Cloud Pretraining
    Siming Yan
    ,
    Yuqi Yang
    ,
    Yu-Xiao Guo
    ,
    Hao Pan
    ,
    Peng-Shuai Wang
    ,
    Xin Tong
    ,
    Yang Liu
    ,
    Qixing Huang
  5. 5
    3D Reconstruction with Generalizable Neural Fields using Scene Priors
    Yang Fu
    ,
    Shalini De Mello
    ,
    Xueting Li
    ,
    Amey Kulkarni
    ,
    Jan Kautz
    ,
    Xiaolong Wang
    ,
    Sifei Liu
  6. 6
    3D Shape Completion via Sparse Irregular Representation
    Jiahui Li
    ,
    Pourya Shamsolmoali
  7. 7
    3D-Aware Hypothesis & Verification for Generalizable Relative Object Pose Estimation
    Chen Zhao
    ,
    Tong Zhang
    ,
    Mathieu Salzmann
  8. 8
    A 2-Dimensional State Space Layer for Spatial Inductive Bias
    Ethan Baron
    ,
    Itamar Zimerman
    ,
    Lior Wolf
  9. 9
    A Benchmark for Learning to Translate a New Language from One Grammar Book
    Garrett Tanzer
    ,
    Mirac Suzgun
    ,
    Eline Visser
    ,
    Dan Jurafsky
    ,
    Luke Melas-Kyriazi
  10. 10
    A Benchmark Study on Calibration
    Linwei Tao
    ,
    Younan Zhu
    ,
    Haolan Guo
    ,
    Minjing Dong
    ,
    Chang Xu
  11. 11
    A Bi-Objective $\epsilon $-Constrained Framework for Quality-Cost Optimization in Language Model Ensembles
    Aditya Singh
    ,
    Aditi Singla
    ,
    Kanishk Kukreja
  12. 12
    A Black-box Approach for Non-stationary Multi-agent Reinforcement Learning
    Haozhe Jiang
    ,
    Qiwen Cui
    ,
    Zhihan Xiong
    ,
    Maryam Fazel
    ,
    Simon Shaolei Du
  13. 13
    A Branching Decoder for Set Generation
    Zixian Huang
    ,
    Gengyang Xiao
    ,
    Yu Gu
    ,
    Gong Cheng
  14. 14
    A Characterization Theorem for Equivariant Networks with Point-wise Activations
    Marco Pacini
    ,
    Xiaowen Dong
    ,
    Bruno Lepri
    ,
    Gabriele Santin
  15. 15
    A Cognitive Model for Learning Abstract Relational Structures from Memory-based Decision-Making Tasks
    Haruo Hosoya
  16. 16
    A Data-Driven Measure of Relative Uncertainty for Misclassification Detection
    Eduardo Dadalto Câmara Gomes
    ,
    Marco Romanelli
    ,
    Georg Pichler
    ,
    Pablo Piantanida
  17. 17
    A differentiable brain simulator bridging brain simulation and brain-inspired computing
    Chaoming Wang
    ,
    Tianqiu Zhang
    ,
    Sichao He
    ,
    Hongyaoxing Gu
    ,
    Shangyang Li
    ,
    Si Wu
  18. 18
    A Differentially Private Clustering Algorithm for Well-Clustered Graphs
    Weiqiang He
    ,
    Hendrik Fichtenberger
    ,
    Pan Peng
  19. 19
    A Discretization Framework for Robust Contextual Stochastic Optimization
    Rares Cristian
    ,
    Georgia Perakis
  20. 20
    A Dynamical View of the Question of Why
    Mehdi Fatemi
    ,
    Sindhu C. M. Gowda
  21. 21
    A Fast and Provable Algorithm for Sparse Phase Retrieval
    Jian-Feng Cai
    ,
    Yu Long
    ,
    Ruixue Wen
    ,
    Jiaxi Ying
  22. 22
    A Flexible Generative Model for Heterogeneous Tabular EHR with Missing Modality
    Huan He
    ,
    William Hao
    ,
    Yuanzhe Xi
    ,
    Yong Chen
    ,
    Bradley A. Malin
    ,
    Joyce C. Ho
  23. 23
    A Foundation Model for Error Correction Codes
    Yoni Choukroun
    ,
    Lior Wolf
  24. 24
    A Framework for Inference Inspired by Human Memory Mechanisms
    Xiangyu Zeng
    ,
    Jie Lin
    ,
    Piao Hu
    ,
    Ruizheng Huang
    ,
    Zhicheng Zhang
  25. 25
    A Framework for Policy Evaluation Enhancement by Diffusion Models
    Tao Ma
    ,
    Xuzhi Yang
  26. 26
    A General Framework for User-Guided Bayesian Optimization
    Carl Hvarfner
    ,
    Frank Hutter
    ,
    Luigi Nardi
  27. 27
    A Generalized Semiconductor Wafer Defect Classifier
    Priyanshu Kumar Rai
    ,
    Pratik Pal
    ,
    Akshay Agarwal
  28. 28
    A Good Learner can Teach Better: Teacher-Student Collaborative Knowledge Distillation
    Ayan Sengupta
    ,
    Shantanu Dixit
    ,
    Md. Shad Akhtar
    ,
    Tanmoy Chakraborty
  29. 29
    A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks
    Jintang Li
    ,
    Huizhe Zhang
    ,
    Ruofan Wu
    ,
    Zulun Zhu
    ,
    Baokun Wang
    ,
    Changhua Meng
    ,
    Zibin Zheng
    ,
    Liang Chen
  30. 30
    A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation
    Zhengbo Wang
    ,
    Jian Liang
    ,
    Lijun Sheng
    ,
    Ran He
    ,
    Zilei Wang
    ,
    Tieniu Tan
  31. 31
    A Hierarchical Bayesian Model for Few-Shot Meta Learning
    Minyoung Kim
    ,
    Timothy M. Hospedales
  32. 32
    A Lie Group Approach to Riemannian Batch Normalization
    Ziheng Chen
    ,
    Yue Song
    ,
    Yunmei Liu
    ,
    Nicu Sebe
  33. 33
    A Lightweight Method for Tackling Unknown Participation Statistics in Federated Averaging
    Shiqiang Wang
    ,
    Mingyue Ji
  34. 34
    A Linear Algebraic Framework for Counterfactual Generation
    Jong-Hoon Ahn
    ,
    Akshay Vashist
  35. 35
    A Multi-Level Framework for Accelerating Training Transformer Models
    Longwei Zou
    ,
    Han Zhang
    ,
    Yangdong Deng
  36. 36
    A Mutual Information Perspective on Federated Contrastive Learning
    Christos Louizos
    ,
    Matthias Reisser
    ,
    Denis Korzhenkov
  37. 37
    A Neural Framework for Generalized Causal Sensitivity Analysis
    Dennis Frauen
    ,
    Fergus Imrie
    ,
    Alicia Curth
    ,
    Valentyn Melnychuk
    ,
    Stefan Feuerriegel
    ,
    Mihaela van der Schaar
  38. 38
    A Newborn Embodied Turing Test for Comparing Object Segmentation Across Animals and Machines
    Manju Garimella
    ,
    Denizhan Pak
    ,
    Justin N. Wood
    ,
    Samantha Marie Waters Wood
  39. 39
    A Novel Sector-Based Algorithm for an Optimized Star-Galaxy Classification
    Anumanchi Agastya Sai Ram Likhit
    ,
    Divyansh Tripathi
    ,
    Akshay Agarwal
  40. 40
    A Novel Two-stage Model with Cross-Level Contrastive Learning for Text-VQA
    Yuejy
    ,
    Xiaojun Bi
    ,
    Zheng Chen
  41. 41
    A Novel Window-Interaction Module Based on W-MSA
    Ruochen Cui
    ,
    Yongding Tao
    ,
    Mingjun Ni
  42. 42
    A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models
    Haoran Xu
    ,
    Young Jin Kim
    ,
    Amr Sharaf
    ,
    Hany Hassan Awadalla
  43. 43
    A path-norm toolkit for modern networks: consequences, promises and challenges
    Antoine Gonon
    ,
    Nicolas Brisebarre
    ,
    Elisa Riccietti
    ,
    Rémi Gribonval
  44. 44
    A Plug-and-Play Image Registration Network
    Junhao Hu
    ,
    Weijie Gan
    ,
    Zhixin Sun
    ,
    Hongyu An
    ,
    Ulugbek Kamilov
  45. 45
    A Poincaré Inequality and Consistency Results for Signal Sampling on Large Graphs
    Thien Le
    ,
    Luana Ruiz
    ,
    Stefanie Jegelka
  46. 46
    A Policy Gradient Method for Confounded POMDPs
    Mao Hong
    ,
    Zhengling Qi
    ,
    Yanxun Xu
  47. 47
    A Pre-Search Evaluation Framework for Assessing Search Space Complexity
    Hadjer Benmeziane
  48. 48
    A Precise Characterization of SGD Stability Using Loss Surface Geometry
    Gregory Dexter
    ,
    Borja Ocejo
    ,
    S. Sathiya Keerthi
    ,
    Aman Gupta
    ,
    Ayan Acharya
    ,
    Rajiv Khanna
  49. 49
    A Primal-Dual Approach to Solving Variational Inequalities with General Constraints
    Tatjana Chavdarova
    ,
    Tong Yang
    ,
    Matteo Pagliardini
    ,
    Michael I. Jordan
  50. 50
    A Probabilistic Framework for Modular Continual Learning
    Lazar Valkov
    ,
    Akash Srivastava
    ,
    Swarat Chaudhuri
    ,
    Charles Sutton