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NeurIPS 2024

A*

Conference on Neural Information Processing Systems

Official site ↗
4,495
accepted papers
4,309
authors
December 9-December 15, 2024
dates
Canada
location

4,495 / 4,495 papers

  1. 1
    $\epsilon$-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise
    Jialiang Wang
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  2. 2
    $\nabla2$DFT: A Universal Quantum Chemistry Dataset of Drug-Like Molecules and a Benchmark for Neural Network Potentials
    Kuzma Khrabrov
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  3. 3
    $\text{Di}2\text{Pose}$: Discrete Diffusion Model for Occluded 3D Human Pose Estimation
    Weiquan Wang
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  4. 4
    $C2M3$: Cycle-Consistent Multi-Model Merging
    Donato Crisostomi
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  5. 5
    $SE(3)$ Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation
    Yinshuang Xu
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  6. 6
    (FL)2: Overcoming Few Labels in Federated Semi-Supervised Learning
    Seungjoo Lee
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  7. 7
    2D-OOB: Attributing Data Contribution Through Joint Valuation Framework
    Yifan Sun
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  8. 8
    2DQuant: Low-bit Post-Training Quantization for Image Super-Resolution
    Kai Liu
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  9. 9
    3-in-1: 2D Rotary Adaptation for Efficient Finetuning, Efficient Batching and Composability
    Baohao Liao
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  10. 10
    3D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction
    Jongmin Lee
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  11. 11
    3D Focusing-and-Matching Network for Multi-Instance Point Cloud Registration
    Liyuan Zhang
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  12. 12
    3D Gaussian Rendering Can Be Sparser: Efficient Rendering via Learned Fragment Pruning
    Zhifan Ye
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  13. 13
    3D Gaussian Splatting as Markov Chain Monte Carlo
    Shakiba Kheradmand
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  14. 14
    3D Structure Prediction of Atomic Systems with Flow-based Direct Preference Optimization
    Rui Jiao
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  15. 15
    3DCoMPaT200: Language Grounded Large-Scale 3D Vision Dataset for Compositional Recognition
    Mahmoud Ahmed
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  16. 16
    3DET-Mamba: Causal Sequence Modelling for End-to-End 3D Object Detection
    Mingsheng Li
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  17. 17
    3DGS-Enhancer: Enhancing Unbounded 3D Gaussian Splatting with View-consistent 2D Diffusion Priors
    Xi Liu
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  18. 18
    4+3 Phases of Compute-Optimal Neural Scaling Laws
    Elliot Paquette
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  19. 19
    4-bit Shampoo for Memory-Efficient Network Training
    Sike Wang
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  20. 20
    4D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization
    Mijeong Kim
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  21. 21
    4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs
    Minjie Wang
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  22. 22
    4Diffusion: Multi-view Video Diffusion Model for 4D Generation
    Haiyu Zhang
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  23. 23
    4M-21: An Any-to-Any Vision Model for Tens of Tasks and Modalities
    Roman Bachmann
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  24. 24
    4Real: Towards Photorealistic 4D Scene Generation via Video Diffusion Models
    Heng Yu
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  25. 25
    A Bayesian Approach for Personalized Federated Learning in Heterogeneous Settings
    Disha Makhija
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  26. 26
    A Bayesian Approach to Data Point Selection
    Xinnuo Xu
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  27. 27
    A Benchmark Dataset for Event-Guided Human Pose Estimation and Tracking in Extreme Conditions
    Hoonhee Cho
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  28. 28
    A benchmark for prediction of transcriptomic responses to chemical perturbations across cell types
    Artur Szalata
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  29. 29
    A Benchmark Suite for Evaluating Neural Mutual Information Estimators on Unstructured Datasets
    Kyungeun Lee
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  30. 30
    A Best-of-both-worlds Algorithm for Bandits with Delayed Feedback with Robustness to Excessive Delays
    Saeed Masoudian
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  31. 31
    A Boosting-Type Convergence Result for AdaBoost.MH with Factorized Multi-Class Classifiers
    Xin Zou
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  32. 32
    A Canonicalization Perspective on Invariant and Equivariant Learning
    George Ma
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  33. 33
    A Careful Examination of Large Language Model Performance on Grade School Arithmetic
    Hugh Zhang
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  34. 34
    A Cat Is A Cat (Not A Dog!): Unraveling Information Mix-ups in Text-to-Image Encoders through Causal Analysis and Embedding Optimization
    Chieh-Yun Chen
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  35. 35
    A Closer Look at AUROC and AUPRC under Class Imbalance
    Matthew B. A. McDermott
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  36. 36
    A Closer Look at the CLS Token for Cross-Domain Few-Shot Learning
    Yixiong Zou
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  37. 37
    A Combinatorial Algorithm for the Semi-Discrete Optimal Transport Problem
    Pankaj K. Agarwal
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  38. 38
    A Compositional Atlas for Algebraic Circuits
    Benjie Wang
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  39. 39
    A Comprehensive Analysis on the Learning Curve in Kernel Ridge Regression
    Tin Sum Cheng
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  40. 40
    A Concept-Based Explainability Framework for Large Multimodal Models
    Jayneel Parekh
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  41. 41
    A Consistency-Aware Spot-Guided Transformer for Versatile and Hierarchical Point Cloud Registration
    Renlang Huang
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  42. 42
    A Critical Evaluation of AI Feedback for Aligning Large Language Models
    Archit Sharma
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  43. 43
    A Cross-Domain Benchmark for Active Learning
    Thorben Werner
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  44. 44
    A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data
    Andrej Tschalzev
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  45. 45
    A Decision-Language Model (DLM) for Dynamic Restless Multi-Armed Bandit Tasks in Public Health
    Nikhil Behari
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  46. 46
    A distributional simplicity bias in the learning dynamics of transformers
    Riccardo Rende
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  47. 47
    A Fast Convoluted Story: Scaling Probabilistic Inference for Integer Arithmetics
    Lennert De Smet
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  48. 48
    A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening
    Guy Bar-Shalom
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  49. 49
    A Foundation Model for Zero-shot Logical Query Reasoning
    Michael Galkin
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  50. 50
    A Framework for Bilevel Optimization on Riemannian Manifolds
    Andi Han
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