Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data
Comments NeurIPS 2023
期刊&会议
NeurIPS
Conference on Neural Information Processing Systems · 会议 · Machine Learning
Alignment with human representations supports robust few-shot learning
Comments Spotlight at NeurIPS 2023
One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning
Comments NeurIPS 2023
Data-Driven Network Neuroscience: On Data Collection and Benchmark
Journal ref Advances in Neural Information Processing Systems, 2023
Transformers over Directed Acyclic Graphs
Comments NeurIPS 2023
Analyzing Vision Transformers for Image Classification in Class Embedding Space
Comments NeurIPS 2023
Mask Propagation for Efficient Video Semantic Segmentation
Comments NeurIPS 2023
Implicit Bias of Gradient Descent for Two-layer ReLU and Leaky ReLU Networks on Nearly-orthogonal Data
Comments 55 pages, 7 figures. In NeurIPS 2023
Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach
Comments Accepted to NeurIPS 2023. 14 pages of main paper, 5 pages of supplementary
InstanT: Semi-supervised Learning with Instance-dependent Thresholds
Comments Accepted as poster for NeurIPS 2023
Estimating the Rate-Distortion Function by Wasserstein Gradient Descent
Comments Accepted as conference paper at NeurIPS 2023
Emergence of Shape Bias in Convolutional Neural Networks through Activation Sparsity
Comments Published as NeurIPS 2023 (Oral)
Dynamo-Depth: Fixing Unsupervised Depth Estimation for Dynamical Scenes
Comments NeurIPS 2023
Correlation Aware Sparsified Mean Estimation Using Random Projection
Comments 32 pages, 13 figures. Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, USA
BanditPAM++: Faster $k$-medoids Clustering
Comments NeurIPS 2023
Adaptive Test-Time Personalization for Federated Learning
Comments Accepted by NeurIPS 2023
Stability of Random Forests and Coverage of Random-Forest Prediction Intervals
Comments NeurIPS 2023
UniCat: Crafting a Stronger Fusion Baseline for Multimodal Re-Identification
Comments Accepted NeurIPS 2023 UniReps, 9 pages, 4 tables
Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting
Comments Accepted to NeurIPS 2023
Weakly Coupled Deep Q-Networks
Comments To appear in proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS 2023)
PrObeD: Proactive Object Detection Wrapper
Comments Accepted at Neurips 2023
CityRefer: Geography-aware 3D Visual Grounding Dataset on City-scale Point Cloud Data
Comments NeurIPS D&B 2023. The first two authors are equally contributed
Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First
Comments Accepted by NeurIPS 2023
WCLD: Curated Large Dataset of Criminal Cases from Wisconsin Circuit Courts
Comments (Forthcoming) Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS 2023) Track on Datasets and Benchmarks
Episodic Multi-Task Learning with Heterogeneous Neural Processes
Comments 28 pages, spotlight of NeurIPS 2023
Simultaneous embedding of multiple attractor manifolds in a recurrent neural network using constrained gradient optimization
Comments To be presetned at the Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023)
Detangling the role of climate in vegetation productivity with an explainable convolutional neural network
Comments 7 pages, 2 figures, submitted to Tackling Climate Change with Machine Learning at NeurIPS 2023
Towards Combinatorial Generalization for Catalysts: A Kohn-Sham Charge-Density Approach
Comments Published at NeurIPS 2023
Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss
Comments Accepted to NeurIPS 2023
Unsupervised Behavior Extraction via Random Intent Priors
Comments Thirty-seventh Conference on Neural Information Processing Systems
