In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer
Comments NeurIPS 2023
期刊&会议
NeurIPS
Conference on Neural Information Processing Systems · 会议 · Machine Learning
Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning
Comments This paper has been accepted at NeurIPS 2023 as a poster
Time-Independent Information-Theoretic Generalization Bounds for SGLD
Comments Accepted by the Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS2023), 29 pages
Act As You Wish: Fine-Grained Control of Motion Diffusion Model with Hierarchical Semantic Graphs
Comments Accepted by NeurIPS 2023
Federated Linear Bandits with Finite Adversarial Actions
Comments Accepted to NeurIPS 2023, camera-ready version
Gaussian Mixture Solvers for Diffusion Models
Comments NeurIPS 2023
Bridging the Gap: Addressing Discrepancies in Diffusion Model Training for Classifier-Free Guidance
Comments Accepted at NeurIPS Diffusion Workshop 2023
SatBird: Bird Species Distribution Modeling with Remote Sensing and Citizen Science Data
Comments 37th Conference on Neural Information Processing Systems (NeurIPS 2023) Track on Datasets and Benchmarks
Training Dynamics of Contextual N-Grams in Language Models
Comments Accepted workshop paper at ATTRIB 2023 (@ NeurIPS)
Role of Structural and Conformational Diversity for Machine Learning Potentials
Comments Accepted at NeurIPS 2023 AI4D3 and AI4S workshops
SmoothHess: ReLU Network Feature Interactions via Stein's Lemma
Comments Accepted to NeurIPS 2023 as a conference paper
HIDM: Emulating Large Scale HI Maps using Score-based Diffusion Models
Comments Accepted to Machine Learning and the Physical Sciences Workshop, NeurIPS 2023
Faster Peace via Inclusivity: An Efficient Paradigm to Understand Populations in Conflict Zones
Comments AI for Social Good workshop at NeurIPS (2019), Vancouver, Canada
Latent space representations of cosmological fields
Comments 7 pages, 3 figures, Accepted at the Machine Learning and the Physical Sciences Workshop, NeurIPS 2023
Are These the Same Apple? Comparing Images Based on Object Intrinsics
Comments First two authors contributed equally. Accepted at NeurIPS Datasets and Benchmarks Track 2023
Disentangled Counterfactual Learning for Physical Audiovisual Commonsense Reasoning
Comments To be published in 37th Conference on Neural Information Processing Systems
Transparent Anomaly Detection via Concept-based Explanations
Comments Accepted at Neurips XAI in Action workshop
Anonymous Learning via Look-Alike Clustering: A Precise Analysis of Model Generalization
Comments accepted at the Conference on Neural Information Processing Systems (NeurIPS 2023)
Wasserstein Quantum Monte Carlo: A Novel Approach for Solving the Quantum Many-Body Schrödinger Equation
Comments Published in NeurIPS 2023
Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning
Comments Accepted at NeurIPS 2023
Text Alignment Is An Efficient Unified Model for Massive NLP Tasks
Comments NeurIPS 2023 Camera Ready, Code available at https://github.com/yuh-zha/Align
Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties
Comments Accepted by NeurIPS 2023 Datasets and Benchmarks Track
AVIS: Autonomous Visual Information Seeking with Large Language Model Agent
Comments Published on NeurIPS 2023
Boosting Adversarial Transferability by Achieving Flat Local Maxima
Comments Accepted by the Neural Information Processing Systems (NeurIPS 2023)
DiViNeT: 3D Reconstruction from Disparate Views via Neural Template Regularization
Comments To be presented at NeurIPS, 2023
Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning
Comments NeurIPS 2023
Generalizing Importance Weighting to A Universal Solver for Distribution Shift Problems
Comments NeurIPS 2023 camera-ready version (this paper was selected for spotlight presentation)
Conformal Prediction for Time Series with Modern Hopfield Networks
Comments presented at NeurIPS 2023
A Finite-Particle Convergence Rate for Stein Variational Gradient Descent
Comments NeurIPS 2023
Variational Gaussian Processes For Linear Inverse Problems
Comments 10 pages, 19-page appendix, to appear in Advances in Neural Information Processing Systems 37 (NeurIPS 2023)
