RLE: A Unified Perspective of Data Augmentation for Cross-Spectral Re-identification
Comments Accepted to NeurIPS 2024
期刊&会议
NeurIPS
Conference on Neural Information Processing Systems · 会议 · Machine Learning
MultiPull: Detailing Signed Distance Functions by Pulling Multi-Level Queries at Multi-Step
Comments Accepted by NeurIPS 2024. Project page: https://takeshie.github.io/MultiPull/
Transfer Learning for Finetuning Large Language Models
Comments Accepted at NeurIPS 2024 Workshop on Adaptive Foundation Models
Hollowed Net for On-Device Personalization of Text-to-Image Diffusion Models
Comments NeurIPS 2024
Fast and Memory-Efficient Video Diffusion Using Streamlined Inference
Comments Accepted to NeurIPS 2024
OnlineTAS: An Online Baseline for Temporal Action Segmentation
Comments 16 pages, 4 figures, 12 tables. Accepted to NeurIPS 2024
Rule Based Rewards for Language Model Safety
Comments Accepted at Neurips 2024
Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities
Comments NeurIPS 2024
Normalization Layer Per-Example Gradients are Sufficient to Predict Gradient Noise Scale in Transformers
Comments 23 pages, 16 figures, to be published in the proceedings of the 2024 Conference on Neural Information Processing Systems (NeurIPS), code is available at: https://github.com/CerebrasResearch/nanoGNS
Text2Freq: Learning Series Patterns from Text via Frequency Domain
Comments 7 pages, 3 figures, and be accepted by NeurIPS 2024 Workshop: Time Series in the Age of Large Models
Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing
Comments 16 pages, 25 figures, NeurIPS 2024 accepted
MESS+: Energy-Optimal Inferencing in Language Model Zoos with Service Level Guarantees
Comments Accepted at the 2024 Workshop on Adaptive Foundation Models in conjunction with NeurIPS 2024
LLaMo: Large Language Model-based Molecular Graph Assistant
Comments NeurIPS 2024
A Theoretical Perspective for Speculative Decoding Algorithm
Comments NeurIPS 2024
Topic-Conversation Relevance (TCR) Dataset and Benchmarks
Comments To be published in 38th Conference on Neural Information Processing Systems (NeurIPS 2024) Track on Datasets and Benchmarks
Identifying General Mechanism Shifts in Linear Causal Representations
Comments NeurIPS 2024
Robot Policy Learning with Temporal Optimal Transport Reward
Comments NeurIPS 2024
Learning Versatile Skills with Curriculum Masking
Comments NeurIPS 2024 poster, 21 pages, 8 figures
Scalability of memorization-based machine unlearning
Comments NeurIPS 2024 FITML Workshop
Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?
Comments Accepted by NeurIPS 2024
Towards Effective Planning Strategies for Dynamic Opinion Networks
Comments Accepted at NeurIPS 2024
DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models
Comments Accepted by NeurIPS 2024
Federated Graph Learning for Cross-Domain Recommendation
Comments Accepted by NeurIPS'24
Tri-Level Navigator: LLM-Empowered Tri-Level Learning for Time Series OOD Generalization
Comments Accepted at NeurIPS 2024
Estimating Generalization Performance Along the Trajectory of Proximal SGD in Robust Regression
Comments Camera-ready version of NeurIPS 2024 paper
3-in-1: 2D Rotary Adaptation for Efficient Finetuning, Efficient Batching and Composability
Comments Accepted to NeurIPS 2024. Code: https://github.com/BaohaoLiao/road
Gradient-Variation Online Learning under Generalized Smoothness
Comments NeurIPS 2024
Reciprocal Learning
Comments Accepted at NeurIPS 2024. v2: fixed typos, added future work. v3: changed def. 4 and proof of thm. 4, added illustrations
PutnamBench: Evaluating Neural Theorem-Provers on the Putnam Mathematical Competition
Comments Accepted at NeurIPS 2024 Datasets & Benchmarks Track
FairJob: A Real-World Dataset for Fairness in Online Systems
Comments NeurIPS 2024, 28 pages, 15 figures
