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ICLR 2025

A*

International Conference on Learning Representations

Official site ↗
3,704
accepted papers
3,548
authors
April 24-28, 2025
dates
Singapore
location

3,704 / 3,704 papers

  1. 1
    (Mis)Fitting Scaling Laws: A Survey of Scaling Law Fitting Techniques in Deep Learning
    Margaret Li
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  2. 2
    3D StreetUnveiler with Semantic-aware 2DGS - a simple baseline
    Jingwei Xu
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  3. 3
    3D Vision-Language Gaussian Splatting
    Qucheng Peng
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  4. 4
    3D-AffordanceLLM: Harnessing Large Language Models for Open-Vocabulary Affordance Detection in 3D Worlds
    Hengshuo Chu
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  5. 5
    3D-MolT5: Leveraging Discrete Structural Information for Molecule-Text Modeling
    Qizhi Pei
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  6. 6
    3D-Properties: Identifying Challenges in DPO and Charting a Path Forward
    Yuzi Yan
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  7. 7
    3D-Spatial Multimodal Memory
    Xueyan Zou
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  8. 8
    3DGS-Drag: Dragging Gaussians for Intuitive Point-Based 3D Editing
    Jiahua Dong
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  9. 9
    3DIS: Depth-Driven Decoupled Image Synthesis for Universal Multi-Instance Generation
    Dewei Zhou
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  10. 10
    3DitScene: Editing Any Scene via Language-guided Disentangled Gaussian Splatting
    Qihang Zhang
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  11. 11
    3DMolFormer: A Dual-channel Framework for Structure-based Drug Discovery
    Xiuyuan Hu
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  12. 12
    3DTrajMaster: Mastering 3D Trajectory for Multi-Entity Motion in Video Generation
    Xiao Fu
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  13. 13
    4K4DGen: Panoramic 4D Generation at 4K Resolution
    Renjie Li
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  14. 14
    6D Object Pose Tracking in Internet Videos for Robotic Manipulation
    Georgy Ponimatkin
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  15. 15
    6DGS: Enhanced Direction-Aware Gaussian Splatting for Volumetric Rendering
    Zhongpai Gao
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  16. 16
    A Benchmark for Semantic Sensitive Information in LLMs Outputs
    Qingjie Zhang
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  17. 17
    A Black Swan Hypothesis: The Role of Human Irrationality in AI Safety
    Hyunin Lee
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  18. 18
    A Causal Lens for Learning Long-term Fair Policies
    Jacob Lear
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  19. 19
    A CLIP-Powered Framework for Robust and Generalizable Data Selection
    Suorong Yang
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  20. 20
    A Closer Look at Machine Unlearning for Large Language Models
    Xiaojian Yuan
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  21. 21
    A Coefficient Makes SVRG Effective
    Yida Yin
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  22. 22
    A Common Pitfall of Margin-based Language Model Alignment: Gradient Entanglement
    Hui Yuan
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  23. 23
    A Computational Framework for Modeling Emergence of Color Vision in the Human Brain
    Atsunobu Kotani
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  24. 24
    A Conditional Independence Test in the Presence of Discretization
    Boyang Sun
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  25. 25
    A Decade's Battle on Dataset Bias: Are We There Yet?
    Zhuang Liu
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  26. 26
    A Deep Generative Learning Approach for Two-stage Adaptive Robust Optimization
    Aron Brenner
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  27. 27
    A deep inverse-mapping model for a flapping robotic wing
    Hadar Sharvit
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  28. 28
    A Differentiable Rank-Based Objective for Better Feature Learning
    Krunoslav Lehman Pavasovic
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  29. 29
    A Distributional Approach to Uncertainty-Aware Preference Alignment Using Offline Demonstrations
    Sheng Xu
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  30. 30
    A Formal Framework for Understanding Length Generalization in Transformers
    Xinting Huang
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  31. 31
    A General Framework for Off-Policy Learning with Partially-Observed Reward
    Rikiya Takehi
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  32. 32
    A General Framework for Producing Interpretable Semantic Text Embeddings
    Yiqun Sun
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  33. 33
    A Generalist Hanabi Agent
    Arjun Vaithilingam Sudhakar
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  34. 34
    A Generic Framework for Conformal Fairness
    Aditya T. Vadlamani
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  35. 35
    A Geometric Framework for Understanding Memorization in Generative Models
    Brendan Leigh Ross
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  36. 36
    A Graph Enhanced Symbolic Discovery Framework For Efficient Logic Optimization
    Yinqi Bai
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  37. 37
    A Large-scale Dataset and Benchmark for Commuting Origin-Destination Flow Generation
    Can Rong
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  38. 38
    A Large-scale Training Paradigm for Graph Generative Models
    Yu Wang
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  39. 39
    A Little Goes a Long Way: Efficient Long Context Training and Inference with Partial Contexts
    Suyu Ge
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  40. 40
    A Meta-Learning Approach to Bayesian Causal Discovery
    Anish Dhir
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  41. 41
    A Multi-Power Law for Loss Curve Prediction Across Learning Rate Schedules
    Kairong Luo
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  42. 42
    A Multiscale Frequency Domain Causal Framework for Enhanced Pathological Analysis
    Xiaoyu Cui
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  43. 43
    A new framework for evaluating model out-of-distribution generalisation for the biochemical domain
    Raúl Fernández-Díaz
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  44. 44
    A New Perspective on Shampoo's Preconditioner
    Depen Morwani
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  45. 45
    A Non-Contrastive Learning Framework for Sequential Recommendation with Preference-Preserving Profile Generation
    Huimin Zeng
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  46. 46
    A Percolation Model of Emergence: Analyzing Transformers Trained on a Formal Language
    Ekdeep Singh Lubana
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  47. 47
    A Periodic Bayesian Flow for Material Generation
    Hanlin Wu
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  48. 48
    A Policy-Gradient Approach to Solving Imperfect-Information Games with Best-Iterate Convergence
    Mingyang Liu
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  49. 49
    A Probabilistic Perspective on Unlearning and Alignment for Large Language Models
    Yan Scholten
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  50. 50
    A Quantum Circuit-Based Compression Perspective for Parameter-Efficient Learning
    Chen-Yu Liu
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