CoDet: Co-Occurrence Guided Region-Word Alignment for Open-Vocabulary Object Detection
Comments Accepted by NeurIPS 2023
期刊&会议
NeurIPS
Conference on Neural Information Processing Systems · 会议 · Machine Learning
Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations
Comments NeurIPS 2023
Flow-Attention-based Spatio-Temporal Aggregation Network for 3D Mask Detection
Comments 13 pages, 5 figures. Accepted to NeurIPS 2023
Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data
Comments Advances in Neural Information Processing Systems 36 (NeurIPS 2023). Van Breugel & Seedat contributed equally
Towards Self-Interpretable Graph-Level Anomaly Detection
Comments 23 pages; accepted to NeurIPS 2023
On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection
Comments Accepted by NeurIPS 2023
ChimpACT: A Longitudinal Dataset for Understanding Chimpanzee Behaviors
Comments NeurIPS 2023
FlatMatch: Bridging Labeled Data and Unlabeled Data with Cross-Sharpness for Semi-Supervised Learning
Comments NeurIPS 2023
Learning Efficient Surrogate Dynamic Models with Graph Spline Networks
Comments Published as a conference paper in NeurIPS 2023
Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder
Comments Accepted to NeurIPS 2023. The first two authors contributed equally
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with $ε$-Greedy Exploration
Journal ref Neurips 2023
Data Pruning via Moving-one-Sample-out
Comments Accepted by the Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023)
Are GATs Out of Balance?
Comments 25 pages. To be published in Advances in Neural Information Processing Systems (NeurIPS), 2023
A Diffusion-Model of Joint Interactive Navigation
Comments 10 pages, 4 figures. Accepted to NeurIPS 2023
Guide Your Agent with Adaptive Multimodal Rewards
Comments Accepted to NeurIPS 2023. Project webpage: https://sites.google.com/view/2023arp
How to Data in Datathons
Comments 37th Conference on Neural Information Processing Systems (NeurIPS 2023) Track on Datasets and Benchmark
PlanE: Representation Learning over Planar Graphs
Comments Proceedings of the Thirty-Seventh Annual Conference on Advances in Neural Information Processing Systems (NeurIPS 2023). Code and data available at: https://github.com/ZZYSonny/PlanE
Learning Unseen Modality Interaction
Comments Published at NeurIPS 2023
Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency
Comments Accepted to NeurIPS 2023 (spotlight)
LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning
Comments Accepted at NeurIPS 2023
Direct Diffusion Bridge using Data Consistency for Inverse Problems
Comments NeurIPS 2023 camera-ready. 16 pages, 6 figures
Multiplication-Free Transformer Training via Piecewise Affine Operations
Comments Accepted to the 37th Conference on Neural Information Processing Systems (NeurIPS 2023)
S-CLIP: Semi-supervised Vision-Language Learning using Few Specialist Captions
Comments NeurIPS 2023
Neural Foundations of Mental Simulation: Future Prediction of Latent Representations on Dynamic Scenes
Comments 20 pages, 10 figures, NeurIPS 2023 Camera Ready Version (spotlight)
FACE: Evaluating Natural Language Generation with Fourier Analysis of Cross-Entropy
Comments NeurIPS 2023
Errors-in-variables Fréchet Regression with Low-rank Covariate Approximation
Comments 36 pages, 3 figures, 1 table. To appear at NeurIPS 2023
Leveraging the two timescale regime to demonstrate convergence of neural networks
Comments NeurIPS 2023. 34 pages, 10 figures
Scaling Laws for Hyperparameter Optimization
Comments Accepted at NeurIPS 2023
A Unified, Scalable Framework for Neural Population Decoding
Comments Accepted at NeurIPS 2023
What's Left? Concept Grounding with Logic-Enhanced Foundation Models
Comments NeurIPS 2023. First two authors contributed equally. Project page: https://web.stanford.edu/~joycj/projects/left_neurips_2023
