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ICLR 2024

A*

International Conference on Learning Representations

Official site ↗
2,454
accepted papers
2,375
authors
May 07-11, 2024
dates
Austria
location

2,454 / 2,454 papers

  1. 1
    "What Data Benefits My Classifier?" Enhancing Model Performance and Interpretability through Influence-Based Data Selection
    Anshuman Chhabra
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  2. 2
    #InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models
    Keming Lu
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  3. 3
    $t3$-Variational Autoencoder: Learning Heavy-tailed Data with Student's t and Power Divergence
    Juno Kim
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  4. 4
    3D Feature Prediction for Masked-AutoEncoder-Based Point Cloud Pretraining
    Siming Yan
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  5. 5
    3D Reconstruction with Generalizable Neural Fields using Scene Priors
    Yang Fu
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  6. 6
    3D Shape Completion via Sparse Irregular Representation
    Jiahui Li
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  7. 7
    3D-Aware Hypothesis & Verification for Generalizable Relative Object Pose Estimation
    Chen Zhao
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  8. 8
    A 2-Dimensional State Space Layer for Spatial Inductive Bias
    Ethan Baron
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  9. 9
    A Benchmark for Learning to Translate a New Language from One Grammar Book
    Garrett Tanzer
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  10. 10
    A Benchmark Study on Calibration
    Linwei Tao
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  11. 11
    A Bi-Objective $\epsilon $-Constrained Framework for Quality-Cost Optimization in Language Model Ensembles
    Aditya Singh
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  12. 12
    A Black-box Approach for Non-stationary Multi-agent Reinforcement Learning
    Haozhe Jiang
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  13. 13
    A Branching Decoder for Set Generation
    Zixian Huang
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  14. 14
    A Characterization Theorem for Equivariant Networks with Point-wise Activations
    Marco Pacini
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  15. 15
    A Cognitive Model for Learning Abstract Relational Structures from Memory-based Decision-Making Tasks
    Haruo Hosoya
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  16. 16
    A Data-Driven Measure of Relative Uncertainty for Misclassification Detection
    Eduardo Dadalto Câmara Gomes
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  17. 17
    A differentiable brain simulator bridging brain simulation and brain-inspired computing
    Chaoming Wang
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  18. 18
    A Differentially Private Clustering Algorithm for Well-Clustered Graphs
    Weiqiang He
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  19. 19
    A Discretization Framework for Robust Contextual Stochastic Optimization
    Rares Cristian
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  20. 20
    A Dynamical View of the Question of Why
    Mehdi Fatemi
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  21. 21
    A Fast and Provable Algorithm for Sparse Phase Retrieval
    Jian-Feng Cai
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  22. 22
    A Flexible Generative Model for Heterogeneous Tabular EHR with Missing Modality
    Huan He
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  23. 23
    A Foundation Model for Error Correction Codes
    Yoni Choukroun
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  24. 24
    A Framework for Inference Inspired by Human Memory Mechanisms
    Xiangyu Zeng
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  25. 25
    A Framework for Policy Evaluation Enhancement by Diffusion Models
    Tao Ma
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  26. 26
    A General Framework for User-Guided Bayesian Optimization
    Carl Hvarfner
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  27. 27
    A Generalized Semiconductor Wafer Defect Classifier
    Priyanshu Kumar Rai
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  28. 28
    A Good Learner can Teach Better: Teacher-Student Collaborative Knowledge Distillation
    Ayan Sengupta
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  29. 29
    A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks
    Jintang Li
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  30. 30
    A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation
    Zhengbo Wang
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  31. 31
    A Hierarchical Bayesian Model for Few-Shot Meta Learning
    Minyoung Kim
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  32. 32
    A Lie Group Approach to Riemannian Batch Normalization
    Ziheng Chen
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  33. 33
    A Lightweight Method for Tackling Unknown Participation Statistics in Federated Averaging
    Shiqiang Wang
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  34. 34
    A Linear Algebraic Framework for Counterfactual Generation
    Jong-Hoon Ahn
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  35. 35
    A Multi-Level Framework for Accelerating Training Transformer Models
    Longwei Zou
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  36. 36
    A Mutual Information Perspective on Federated Contrastive Learning
    Christos Louizos
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  37. 37
    A Neural Framework for Generalized Causal Sensitivity Analysis
    Dennis Frauen
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  38. 38
    A Newborn Embodied Turing Test for Comparing Object Segmentation Across Animals and Machines
    Manju Garimella
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  39. 39
    A Novel Sector-Based Algorithm for an Optimized Star-Galaxy Classification
    Anumanchi Agastya Sai Ram Likhit
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  40. 40
    A Novel Two-stage Model with Cross-Level Contrastive Learning for Text-VQA
    Yuejy
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  41. 41
    A Novel Window-Interaction Module Based on W-MSA
    Ruochen Cui
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  42. 42
    A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models
    Haoran Xu
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  43. 43
    A path-norm toolkit for modern networks: consequences, promises and challenges
    Antoine Gonon
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  44. 44
    A Plug-and-Play Image Registration Network
    Junhao Hu
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  45. 45
    A Poincaré Inequality and Consistency Results for Signal Sampling on Large Graphs
    Thien Le
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  46. 46
    A Policy Gradient Method for Confounded POMDPs
    Mao Hong
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  47. 47
    A Pre-Search Evaluation Framework for Assessing Search Space Complexity
    Hadjer Benmeziane
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  48. 48
    A Precise Characterization of SGD Stability Using Loss Surface Geometry
    Gregory Dexter
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  49. 49
    A Primal-Dual Approach to Solving Variational Inequalities with General Constraints
    Tatjana Chavdarova
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  50. 50
    A Probabilistic Framework for Modular Continual Learning
    Lazar Valkov
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