Physics-Informed Tensor Basis Neural Network for Turbulence Closure Modeling
Comments 8 pages, 4 figures, 37th Conference on Neural Information Processing Systems (NeurIPS 2023), Machine Learning and the Physical Sciences Workshop
期刊&会议
NeurIPS
Conference on Neural Information Processing Systems · 会议 · Machine Learning
Inferring Latent Class Statistics from Text for Robust Visual Few-Shot Learning
Comments R0-FoMo: Workshop on Robustness of Few-shot and Zero-shot Learning in Foundation Models at NeurIPS 2023
Data-Efficient Alignment of Large Language Models with Human Feedback Through Natural Language
Comments Accepted by Workshop on Instruction Tuning and Instruction Following at NeurIPS 2023, Submitted to AAAI 2024
On the Planning Abilities of Large Language Models : A Critical Investigation
Comments NeurIPS 2023 Spotlight. arXiv admin note: substantial text overlap with arXiv:2206.10498
Dungeons and Data: A Large-Scale NetHack Dataset
Comments 9 pages, published in the Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS 2022) Track on Datasets and Benchmarks. New links to hosting location. Revised results, same conclusions
Efficient and Robust Jet Tagging at the LHC with Knowledge Distillation
Comments 7 pages, 3 figures, accepted at the Machine Learning and the Physical Sciences Workshop, NeurIPS 2023
Variational Annealing on Graphs for Combinatorial Optimization
Comments Accepted at NeurIPS 2023
Class Balanced Dynamic Acquisition for Domain Adaptive Semantic Segmentation using Active Learning
Comments NeurIPS 2023 Workshop on Adaptive Experimental Design and Active Learning in the Real World
Towards Auditing Large Language Models: Improving Text-based Stereotype Detection
Comments 2023 NeurIPS SoLaR Workshop Accepted
Understanding the Vulnerability of CLIP to Image Compression
Comments R0-FoMo: Workshop on Robustness of Few-shot and Zero-shot Learning in Foundation Models at NeurIPS 2023
EIGEN: Expert-Informed Joint Learning Aggregation for High-Fidelity Information Extraction from Document Images
Comments In Proceedings of ML for Health Conference, 2023 (co-located with Neurips)
Can Physics Informed Neural Operators Self Improve?
Comments Paper accepted as a Spotlight talk at Symbiosis of Deep Learning and Differential Equations, Neural Information Processing Systems 2023
Density of States Prediction of Crystalline Materials via Prompt-guided Multi-Modal Transformer
Comments NeurIPS 2023. arXiv admin note: text overlap with arXiv:2303.07000
Exploring Time Granularity on Temporal Graphs for Dynamic Link Prediction in Real-world Networks
Comments Presented at the Temporal Graph Learning Workshop @ NeurIPS 2023
The Song Describer Dataset: a Corpus of Audio Captions for Music-and-Language Evaluation
Comments Accepted to NeurIPS 2023 Workshop on Machine Learning for Audio
FlexTrain: A Dynamic Training Framework for Heterogeneous Devices Environments
Comments Workshop on Advancing Neural Network Training (WANT) at NeurIPS 2023
Self-Supervised Visual Acoustic Matching
Comments Project page: https://vision.cs.utexas.edu/projects/ss_vam/ . Accepted at NeurIPS 2023
Task-Robust Pre-Training for Worst-Case Downstream Adaptation
Journal ref NIPS (2023)
Tame a Wild Camera: In-the-Wild Monocular Camera Calibration
Journal ref NeurIPS 2023
MARBLE: Music Audio Representation Benchmark for Universal Evaluation
Comments camera-ready version for NeurIPS 2023
PaSS: Parallel Speculative Sampling
Comments Accepted at the 3rd workshop on Efficient Natural Language and Speech Processing (ENLSP, NeurIPS 2023)
XAGen: 3D Expressive Human Avatars Generation
Comments Accepted to NeurIPS 2023, Project Page at https://showlab.github.io/xagen
Explaining high-dimensional text classifiers
Comments Accepted to "XAI in Action" workshop @ NeurIPS 2023
An Empirical Study of Uncertainty Estimation Techniques for Detecting Drift in Data Streams
Comments NeurIPS 2023: Workshop on Distribution Shifts
Probabilistic Inference in Reinforcement Learning Done Right
Comments NeurIPS 2023
FedFN: Feature Normalization for Alleviating Data Heterogeneity Problem in Federated Learning
Comments NeurIPS Workshop: "Federated Learning in the Age of Foundation Models" 2023
Self-Supervised Music Source Separation Using Vector-Quantized Source Category Estimates
Comments 4 pages, 2 figures, 1 table; Accepted at the 37th Conference on Neural Information Processing Systems (2023), Machine Learning for Audio Workshop
Exploring Practitioner Perspectives On Training Data Attribution Explanations
Comments Accepted to NeurIPS XAI in Action workshop 2023
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation
Comments NeurIPS 2023 (Spotlight)
On the Limitation of Diffusion Models for Synthesizing Training Datasets
Comments NeurIPS 2023 SyntheticData4ML Workshop
