ViLCo-Bench: VIdeo Language COntinual learning Benchmark
Comments 14 pages, 4 figures, 8 tables, Accepted at NeurIPS Dataset and Benchmark Track 2024
期刊&会议
NeurIPS
Conference on Neural Information Processing Systems · 会议 · Machine Learning
ProtoS-ViT: Visual foundation models for sparse self-explainable classifications
Comments Update publication to match paper presented at the Interpretable AI: Past, Present and Future Workshop at NeurIPS 2024
MVGamba: Unify 3D Content Generation as State Space Sequence Modeling
Comments Accepted by NeurIPS 2024. Code is included in https://github.com/SkyworkAI/MVGamba
RoboMamba: Efficient Vision-Language-Action Model for Robotic Reasoning and Manipulation
Comments Accepted by Neurips 2024
DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning
Comments Accepted at NeurIPS 2024
CoVoMix: Advancing Zero-Shot Speech Generation for Human-like Multi-talker Conversations
Comments Neural Information Processing Systems 2024, poster
Optimal Top-Two Method for Best Arm Identification and Fluid Analysis
Comments To appear in NeurIPS 2024
MatFormer: Nested Transformer for Elastic Inference
Comments 30 pages, 11 figures, first three authors contributed equally. NeurIPS, 2024
xVal: A Continuous Numerical Tokenization for Scientific Language Models
Comments 15 pages, 12 figures. Appendix: 8 pages, 2 figures. Accepted contribution at the NeurIPS Workshop on ML for the Physical Sciences
Exploring Complex Mental Health Symptoms via Classifying Social Media Data with Explainable LLMs
Comments Accepted to Machine Learning for Health (ML4H) Findings 2024 (co-located with NeurIPS 2024)
Scalable Early Childhood Reading Performance Prediction
Comments The Thirty-eight Conference on Neural Information Processing Systems Datasets and Benchmarks Track
Coherent 3D Scene Diffusion From a Single RGB Image
Comments Project Page: https://www.manuel-dahnert.com/research/scene-diffusion - Accepted at NeurIPS 2024
Benchmarking Table Comprehension In The Wild
Comments Accepted at TRL Workshop@Neurips 2024. Link to data https://github.com/boson-ai/Table_eval_public
DQA: An Efficient Method for Deep Quantization of Deep Neural Network Activations
Comments Accepted to Second Workshop on Machine Learning with New Compute Paradigms at NeurIPS 2024 (MLNCP 2024)
Does Representation Matter? Exploring Intermediate Layers in Large Language Models
Comments Accepted to 2024 NeurIPs Workshop on Machine Learning and Compression
Loss function to optimise signal significance in particle physics
Comments 9 pages, 4 figures. Appeared in the Machine Learning for Physical Sciences (ML4PS) workshop in NeurIPS 2024 conference
Dimensionality Reduction Techniques for Global Bayesian Optimisation
Comments Accepted at NeurIPS 2024 Workshop OPT for ML: Optimization for Machine Learning (Submission Number:67)
Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era
Comments NeurIPS 2024 - Datasets & Benchmarks Track (spotlight)
Probabilistic Galaxy Field Generation with Diffusion Models
Comments 6 pages, 3 figures, 1 table. Published to Machine Learning and the Physical Sciences Workshop at the 38th conference on Neural Information Processing Systems (NeurIPS) (https://ml4physicalsciences.github.io/2024/)
Localizing Memorization in SSL Vision Encoders
Comments Accepted at NeurIPS 2024
Disentangling Mean Embeddings for Better Diagnostics of Image Generators
Comments Published at Interpretable AI: Past, Present and Future Workshop at NeurIPS 2024
BEACON: Benchmark for Comprehensive RNA Tasks and Language Models
Comments Accepted by NeurIPS 2024 Dataset and Benchmark Track
UniBias: Unveiling and Mitigating LLM Bias through Internal Attention and FFN Manipulation
Comments Accepted to NeurIPS 2024
Achieving Constant Regret in Linear Markov Decision Processes
Comments 45 pages, 3 tables, 2 figures, in 38th Conference on Neural Information Processing Systems (NeurIPS 2024)
Emulating the Global Change Analysis Model with Deep Learning
Comments Presented at Tackling Climate Change with Machine Learning, NeurIPS 2024
Learning Symmetry-Independent Jet Representations via Jet-Based Joint Embedding Predictive Architecture
Comments 5 pages, 2 figures. Accepted to Machine Learning for Physical Sciences NeurIPS 2024 workshop
Direct Consistency Optimization for Robust Customization of Text-to-Image Diffusion Models
Comments NeurIPS 2024. Project page: https://dco-t2i.github.io/
Learn To be Efficient: Build Structured Sparsity in Large Language Models
Journal ref Advances in Neural Information Processing Systems (NeurIPS) 2024
NeuralFuse: Learning to Recover the Accuracy of Access-Limited Neural Network Inference in Low-Voltage Regimes
Comments NeurIPS 2024
Learning to Decouple the Lights for 3D Face Texture Modeling
Comments Accepted by NeurIPS 2024
