A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks
Comments NeurIPS 2023
期刊&会议
NeurIPS
Conference on Neural Information Processing Systems · 会议 · Machine Learning
CARE-MI: Chinese Benchmark for Misinformation Evaluation in Maternity and Infant Care
Comments NeurIPS 2023 Datasets and Benchmarks Track
Training-free Diffusion Model Adaptation for Variable-Sized Text-to-Image Synthesis
Comments Accepted by NeurIPS 2023. 23 pages, 13 figures
Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis, and LLMs Evaluations
Comments Accepted to NeurIPS 2023 Dataset and Benchmark Track. Code is available at \url{https://github.com/lifan-yuan/OOD_NLP}
AD-PT: Autonomous Driving Pre-Training with Large-scale Point Cloud Dataset
Comments Accepted by NeurIPS 2023. Project page: https://jiakangyuan.github.io/AD-PT.github.io/
Efficient Diffusion Policies for Offline Reinforcement Learning
Comments Accepted by NeurIPS 2023
Spontaneous Symmetry Breaking in Generative Diffusion Models
Comments As published at NeurIPS 2023, and the size of the file has been optimized for fast downloading
Small Total-Cost Constraints in Contextual Bandits with Knapsacks, with Application to Fairness
Journal ref Advances in Neural Information Processing Systems, Dec 2023, New Orleans, United States
Networks are Slacking Off: Understanding Generalization Problem in Image Deraining
Comments This article has been accepted by NeurIPS 2023
Pre-RMSNorm and Pre-CRMSNorm Transformers: Equivalent and Efficient Pre-LN Transformers
Comments NeurIPS 2023 spotlight. Code is available at https://github.com/ZixuanJiang/pre-rmsnorm-transformer
SEEDS: Exponential SDE Solvers for Fast High-Quality Sampling from Diffusion Models
Comments 60 pages. Camera-Ready version for the 37th Conference on Neural Information Processing Systems (NeurIPS 2023)
Squared Neural Families: A New Class of Tractable Density Models
Comments Spotlight award at NeurIPS 2023
Distribution-Free Model-Agnostic Regression Calibration via Nonparametric Methods
Comments Accepted at NeurIPS 2023 and update a camera-ready version; Add some experiments and literature reviews
Sequential Memory with Temporal Predictive Coding
Comments 37th Conference on Neural Information Processing Systems (NeurIPS 2023)
Self-Evaluation Guided Beam Search for Reasoning
Comments NeurIPS 2023. 10 pages, 7 figures, 4 tables (33 pages, 14 figures, 15 tables including references and appendices)
ZipLM: Inference-Aware Structured Pruning of Language Models
Comments Accepted to NeurIPS 2023
Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset Selection
Comments NeurIPS 2023 Spotlight
A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs
Comments Proceedings of the Thirty-Seventh Annual Conference on Advances in Neural Information Processing Systems (NeurIPS 2023). Code available at: https://github.com/HxyScotthuang/CMPNN
Unconstrained Dynamic Regret via Sparse Coding
Comments NeurIPS 2023
Cause-Effect Inference in Location-Scale Noise Models: Maximum Likelihood vs. Independence Testing
Comments NeurIPS 2023
Curvature Filtrations for Graph Generative Model Evaluation
Comments Accepted at the 37th Conference on Neural Information Processing Systems (NeurIPS) 2023
Learning Transferable Adversarial Robust Representations via Multi-view Consistency
Comments *Equal contribution (Author ordering determined by coin flip). NeurIPS SafetyML workshop 2022, Under review
Effective Targeted Attacks for Adversarial Self-Supervised Learning
Comments NeurIPS 2023
On the Convergence to a Global Solution of Shuffling-Type Gradient Algorithms
Comments The 37th Conference on Neural Information Processing Systems (NeurIPS 2023)
On Embeddings for Numerical Features in Tabular Deep Learning
Comments NeurIPS 2022 camera-ready. Code: https://github.com/yandex-research/tabular-dl-num-embeddings (v3-v4: minor changes)
Revisiting Deep Learning Models for Tabular Data
Comments NeurIPS 2021 camera-ready. Code: https://github.com/yandex-research/tabular-dl-revisiting-models (v3-v5: minor changes)
SuperHF: Supervised Iterative Learning from Human Feedback
Comments Accepted to the Socially Responsible Language Modelling Research (SoLaR) workshop at NeurIPS 2023
Simple, Scalable and Effective Clustering via One-Dimensional Projections
Comments 41 pages, 6 figures, to appear in NeurIPS 2023
Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies
Comments Accepted to NeurIPS 2023
Robust and Actively Secure Serverless Collaborative Learning
Comments Accepted at NeurIPS 2023
