Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach
Comments NeurIPS 2023
期刊&会议
NeurIPS
Conference on Neural Information Processing Systems · 会议 · Machine Learning
Maximum Independent Set: Self-Training through Dynamic Programming
Comments Accepted in NeurIPS 2023
One-shot Localization and Segmentation of Medical Images with Foundation Models
Comments Accepted at NeurIPS 2023 R0-FoMo Workshop
Switching Temporary Teachers for Semi-Supervised Semantic Segmentation
Comments NeurIPS-2023
Arbitrarily Scalable Environment Generators via Neural Cellular Automata
Comments Accepted to Advances in Neural Information Processing Systems (NeurIPS), 2023
Online Decision Mediation
Journal ref In Proc. 36th International Conference on Neural Information Processing Systems (NeurIPS 2022)
Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint
Comments 42 pages, 5 figures, 4 tables. Accepted to the 37th Conference on Neural Information Processing Systems (NeurIPS 2023)
Group Robust Classification Without Any Group Information
Comments Accepted at the 37th Conference on Neural Information Processing Systems (NeurIPS 2023). Code is available at https://github.com/tsirif/uLA
Contextual Stochastic Bilevel Optimization
Comments The paper is accepted by NeurIPS 2023
Feature Selection in the Contrastive Analysis Setting
Comments NeurIPS 2023
Sample based Explanations via Generalized Representers
Comments Accepted by Neurips 2023
How Well Do Feature-Additive Explainers Explain Feature-Additive Predictors?
Comments Accepted to NeurIPS Workshop XAI in Action: Past, Present, and Future Applications. arXiv admin note: text overlap with arXiv:2106.08376
Approximate Heavy Tails in Offline (Multi-Pass) Stochastic Gradient Descent
Comments In Neural Information Processing Systems (NeurIPS), Spotlight Presentation, 2023
Towards a fuller understanding of neurons with Clustered Compositional Explanations
Comments Accepted at NeurIPS 2023
State-Action Similarity-Based Representations for Off-Policy Evaluation
Comments Accepted to Neural Information Processing Systems (NeurIPS) 2023
SAMCLR: Contrastive pre-training on complex scenes using SAM for view sampling
Comments Accepted at NeurIPS 2023 Workshop on SSL
DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics
Comments Accepted at NeurIPS 2023
Spectral Entry-wise Matrix Estimation for Low-Rank Reinforcement Learning
Comments To appear in NeurIPS 2023
PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust Generalization
Comments NeurIPS 2023
DORIS-MAE: Scientific Document Retrieval using Multi-level Aspect-based Queries
Comments To appear in NeurIPS 2023 Datasets and Benchmarks Track
Fragment-based Pretraining and Finetuning on Molecular Graphs
Comments 18 pages, 4 figures, published in NeurIPS 2023
Statistical Limits of Adaptive Linear Models: Low-Dimensional Estimation and Inference
Comments This paper is accepted at NeurIPS 2023
Fine-grained Late-interaction Multi-modal Retrieval for Retrieval Augmented Visual Question Answering
Comments To appear at NeurIPS 2023. This is the camera-ready version. We fixed some numbers and added more experiments to address reviewers' comments
LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
Comments Accepted at 37th Conference on Neural Information Processing Systems (NeurIPS 2023) Track on Datasets and Benchmarks
Tempo Adaptation in Non-stationary Reinforcement Learning
Comments 53 pages. To be published in Neural Information Processing Systems (NeurIPS), 2023
Species196: A One-Million Semi-supervised Dataset for Fine-grained Species Recognition
Comments Accepted by NeurIPS 2023 Track Datasets and Benchmarks
Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data Heterogeneity
Comments Accepted to NeurIPS 2023
Turbulence in Focus: Benchmarking Scaling Behavior of 3D Volumetric Super-Resolution with BLASTNet 2.0 Data
Comments Accepted in Adv. in Neural Information Processing Systems 36 (NeurIPS 2023). Link: https://nips.cc/virtual/2023/poster/73433 . 55 pages, 21 figures. Keywords: Super-resolution, 3D, Neural Scaling, Physics-informed Loss, Computational Fluid Dynamics, Partial Differential Equations, Turbulent Reacting Flows, Direct Numerical Simulation, Fluid Mechanics, Combustion, Computer Vision
Video Timeline Modeling For News Story Understanding
Comments Accepted as a spotlight by NeurIPS 2023, Track on Datasets and Benchmarks
Posterior Contraction Rates for Matérn Gaussian Processes on Riemannian Manifolds
Journal ref Advances in Neural Information Processing Systems, 2023
