Adversarially Robust Decision Transformer
Comments Accepted to NeurIPS 2024
期刊&会议
NeurIPS
Conference on Neural Information Processing Systems · 会议 · Machine Learning
Double-Ended Synthesis Planning with Goal-Constrained Bidirectional Search
Comments NeurIPS 2024 (Spotlight)
Diffusion Spectral Representation for Reinforcement Learning
Comments NeurIPS 2024
Autoregressive Image Generation without Vector Quantization
Comments Neurips 2024 (Spotlight). Code: https://github.com/LTH14/mar
DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs
Comments NeurIPS 2024 Oral, Website at https://duquant.github.io
HENASY: Learning to Assemble Scene-Entities for Egocentric Video-Language Model
Comments Accepted to NeurIPS 2024
Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic Space
Comments Accepted to Neurips 2024
Can Large Language Model Agents Simulate Human Trust Behavior?
Comments Accepted to Proceedings of NeurIPS 2024. The first two authors contributed equally. 10 pages for main paper, 56 pages including appendix. Project website: https://agent-trust.camel-ai.org
Return of Unconditional Generation: A Self-supervised Representation Generation Method
Comments Neurips 2024 (Oral)
TaskBench: Benchmarking Large Language Models for Task Automation
Comments Accepted to NeurIPS 2024
Exploring the Precise Dynamics of Single-Layer GAN Models: Leveraging Multi-Feature Discriminators for High-Dimensional Subspace Learning
Comments Accepted for NeurIPS 2024, 16 pages, 7 figures
Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions
Comments Accepted to NeurIPS 2024
Target-Guided Adversarial Point Cloud Transformer Towards Recognition Against Real-world Corruptions
Comments Accepted by NeurIPS 2024; code: https://github.com/Roywangj/APCT
ConceptFactory: Facilitate 3D Object Knowledge Annotation with Object Conceptualization
Comments NeurIPS 2024 Track on Datasets and Benchmarks
Expert-level protocol translation for self-driving labs
Comments In Advances in Neural Information Processing Systems (NeurIPS'24)
Black-Box Forgetting
Comments NeurIPS 2024
Right this way: Can VLMs Guide Us to See More to Answer Questions?
Comments NeurIPS 2024
Preventing Dimensional Collapse in Self-Supervised Learning via Orthogonality Regularization
Comments accepted by NeurIPS 2024 as a poster
Preventing Model Collapse in Deep Canonical Correlation Analysis by Noise Regularization
Comments Accepted by NeurIPS 2024 as a poster
StepCountJITAI: simulation environment for RL with application to physical activity adaptive intervention
Comments Accepted at NeurIPS 2024 workshop on Behavioral ML
Personalized Federated Learning via Feature Distribution Adaptation
Comments 38th Annual Conference on Neural Information Processing Systems (NeurIPS), 2024
Inducing Semi-Structured Sparsity by Masking for Efficient Model Inference in Convolutional Networks
Comments 15 pages, 3 figures; this work will be presented at the NeurIPS 2024 Workshop on Fine-Tuning in Modern Machine Learning: Principles and Scalability (FITML)
Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA
Comments NeurIPS 2024
Deep Learning Through A Telescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond
Comments Accepted at Conference on Neural Information Processing Systems (NeurIPS) 2024
Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments
Comments Advances in Neural Information Processing Systems 38 (NeurIPS 2024)
APEBench: A Benchmark for Autoregressive Neural Emulators of PDEs
Comments Accepted at Neurips 2024. The code is available at https://github.com/tum-pbs/apebench and APEBench can be installed via "pip install apebench"
Pedestrian Trajectory Prediction with Missing Data: Datasets, Imputation, and Benchmarking
Comments Accepted at NeurIPS 2024
Unlocking the Potential of Global Human Expertise
Comments NeurIPS 2024; Main Paper 15 pages, Appendix 11 pages
Generating Diverse Negations from Affirmative Sentences
Comments Accepted at "Adaptive Foundation Models: Evolving AI for Personalized and Efficient Learning" workshop at NeurIPS 2024
Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model
Comments NeurIPS'2024, 10 pages
