Learning in Markov Games with Adaptive Adversaries: Policy Regret, Fundamental Barriers, and Efficient Algorithms
Comments NeurIPS'24; fix typos
期刊&会议
NeurIPS
Conference on Neural Information Processing Systems · 会议 · Machine Learning
Which LLMs are Difficult to Detect? A Detailed Analysis of Potential Factors Contributing to Difficulties in LLM Text Detection
Comments Accepted at NeurIPS 2024 - Safe Generative AI Workshop; Camera-ready version
Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling
Comments Accepted as Spotlight at Conference on Neural Information Processing Systems (NeurIPS 2024); Alanine dipeptide results updated after fixing unphysical parameterization and energy computation
Symbolic Regression with a Learned Concept Library
Comments NeurIPS version; 10 pages; no checklist; added more experiment details
WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs
Comments NeurIPS 2024 Camera Ready. First two authors contributed equally. Third and fourth authors contributed equally
Probing the Decision Boundaries of In-context Learning in Large Language Models
Comments Accepted at NeurIPS 2024, code at https://github.com/siyan-zhao/ICL_decision_boundary
UDON: Universal Dynamic Online distillatioN for generic image representations
Comments NeurIPS 2024 accepted
Order-Independence Without Fine Tuning
Comments 29 pages, 27 figures, Published in NeurIPS 2024 code https://github.com/reidmcy/set-based-prompting
SpaFL: Communication-Efficient Federated Learning with Sparse Models and Low computational Overhead
Comments Published in NeurIPS 2024
RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance
Comments NeurIPS 2024
Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision
Comments Accepted at NeurIPS 2024
UniSDF: Unifying Neural Representations for High-Fidelity 3D Reconstruction of Complex Scenes with Reflections
Comments NeurIPS 2024 camera ready
Unlocking Feature Visualization for Deeper Networks with MAgnitude Constrained Optimization
Journal ref Conference on Neural Information Processing Systems (NeurIPS), 2023
CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning
Journal ref Advances in Neural Information Processing Systems 36 (2024)
Tactile DreamFusion: Exploiting Tactile Sensing for 3D Generation
Comments Accepted to NeurIPS 2024. Project webpage: https://ruihangao.github.io/TactileDreamFusion/ Code: https://github.com/RuihanGao/TactileDreamFusion
I Don't Know: Explicit Modeling of Uncertainty with an [IDK] Token
Comments Published at NeurIPS 2024
AI TrackMate: Finally, Someone Who Will Give Your Music More Than Just "Sounds Great!"
Comments Accepted for the NeurIPS 2024 Creative AI Track
Bridging the Divide: Reconsidering Softmax and Linear Attention
Comments NeurIPS 2024
DEX: Data Channel Extension for Efficient CNN Inference on Tiny AI Accelerators
Comments Accepted to NeurIPS 2024
SafeWorld: Geo-Diverse Safety Alignment
Comments Accepted by NeurIPS 2024
Measuring Pre-training Data Quality without Labels for Time Series Foundation Models
Journal ref NeurIPS 2024 Workshop on Time Series in the Age of Large Models
Data Free Backdoor Attacks
Comments 24 pages, 8 figures, accepted by NeurIPS 2024
Interpreting Transformers for Jet Tagging
Comments Accepted at the Machine Learning and the Physical Sciences Workshop, NeurIPS 2024
Prototypical Hash Encoding for On-the-Fly Fine-Grained Category Discovery
Comments Accepted by NeurIPS 2024
Imitating Language via Scalable Inverse Reinforcement Learning
Comments Published at NeurIPS 2024
FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction
Comments This paper has been accepted by NeurIPS 2024. In this updated version, we have corrected the typos
Benchmarking the Attribution Quality of Vision Models
Comments NeurIPS 2024 Datasets and Benchmarks Track, project page and code: https://github.com/visinf/idsds
xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token
Comments Neurips 2024
Croissant: A Metadata Format for ML-Ready Datasets
Comments Published at the NeurIPS 2024 Datasets and Benchmark Track. A shorter version appeared earlier in Proceedings of ACM SIGMOD/PODS'24 Data Management for End-to-End Machine Learning (DEEM) Workshop https://dl.acm.org/doi/10.1145/3650203.3663326
Speech Robust Bench: A Robustness Benchmark For Speech Recognition
Comments submitted to NeurIPS datasets and benchmark track 2025
