CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models
Comments Accepted as a poster at NeurIPS 2024
期刊&会议
NeurIPS
Conference on Neural Information Processing Systems · 会议 · Machine Learning
Offline Multitask Representation Learning for Reinforcement Learning
Comments Accepted to 38th Conference on Neural Information Processing Systems (NeurIPS 2024)
Faster Neighborhood Attention: Reducing the O(n^2) Cost of Self Attention at the Threadblock Level
Comments To appear in 38th Conference on Neural Information Processing Systems (NeurIPS 2024)
How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider and MoE Transformers
Comments Accepted by NeurIPS 2024
Uniform Last-Iterate Guarantee for Bandits and Reinforcement Learning
Comments 54 pages, NeurIPS 2024
Perceiving Longer Sequences With Bi-Directional Cross-Attention Transformers
Comments Accepted at NeurIPS 2024; Code and models will be available at https://github.com/mrkshllr/BiXT
Microstructures and Accuracy of Graph Recall by Large Language Models
Comments Accepted at NeurIPS 2024; Code available at: https://github.com/Abel0828/llm-graph-recall
Classification Diffusion Models: Revitalizing Density Ratio Estimation
Comments Accepted for NeurIPS 2024
Transition Constrained Bayesian Optimization via Markov Decision Processes
Comments 10 pages main, 34 pages total, 17 figures, 2 tables. Accepted to NeurIPS 2024
SPO: Sequential Monte Carlo Policy Optimisation
Comments Accepted to NeurIPS 2024. 34 pages, 3 main figures
Self-Calibrating Conformal Prediction
Comments Accepted to Neurips 2024. Preprint previously titled Self-Consistent Conformal Prediction. https://openreview.net/forum?id=BJ6HkT7qIk&referrer=%5BAuthor%20Console%5D(%2Fgroup%3Fid%3DNeurIPS.cc%2F2024%2FConference%2FAuthors%23your-submissions)
Advancing Video Anomaly Detection: A Concise Review and a New Dataset
Comments Accepted at the 38th Conference on Neural Information Processing Systems (NeurIPS 2024) Track on Datasets and Benchmarks
Unifying Generation and Prediction on Graphs with Latent Graph Diffusion
Comments Accepted to NeurIPS 2024
GITA: Graph to Visual and Textual Integration for Vision-Language Graph Reasoning
Comments NeurIPS 2024; Project Page: v-graph.github.io; Code: https://github.com/WEIYanbin1999/GITA/
Natural Counterfactuals With Necessary Backtracking
Comments Accepted to NeurIPS 2024
Benchmarking LLMs via Uncertainty Quantification
Comments 30 pages, accepted to NeurIPS 2024
Self-Labeling the Job Shop Scheduling Problem
Comments Accepted at the 38th Annual Conference on Neural Information Processing Systems (NeurIPS 2024)
Algebraic Positional Encodings
Comments NeurIPS 2024 (spotlight)
UniAR: A Unified model for predicting human Attention and Responses on visual content
Comments NeurIPS 2024
Weak Supervision Performance Evaluation via Partial Identification
Comments NeurIPS 2024
Tree of Attacks: Jailbreaking Black-Box LLMs Automatically
Comments Accepted for presentation at NeurIPS 2024. Code: https://github.com/RICommunity/TAP
Learning Cooperative Trajectory Representations for Motion Forecasting
Comments Accepted by NeurIPS 2024
Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning
Comments Accepted to NeurIPS 2024
Invisible Image Watermarks Are Provably Removable Using Generative AI
Comments NeurIPS 2024
Enriching Disentanglement: From Logical Definitions to Quantitative Metrics
Comments Neural Information Processing Systems 2024
Sequential Order-Robust Mamba for Time Series Forecasting
Comments NeurIPS Workshop on Time Series in the Age of Large Models, 2024
MoLE: Enhancing Human-centric Text-to-image Diffusion via Mixture of Low-rank Experts
Comments Published at NeurIPS 2024
Accelerating Direct Preference Optimization with Prefix Sharing
Comments To appear in NeurIPS 2024 in the Fine-Tuning in Machine Learning Workshop
Transfer Learning for Diffusion Models
Comments NeurIPS 2024
Grokked Transformers are Implicit Reasoners: A Mechanistic Journey to the Edge of Generalization
Comments NeurIPS 2024. Code and data: https://github.com/OSU-NLP-Group/GrokkedTransformer
