Exploring Attribute Variations in Style-based GANs using Diffusion Models
Comments Neurips Workshop on Diffusion Models 2023
期刊&会议
NeurIPS
Conference on Neural Information Processing Systems · 会议 · Machine Learning
Should We Learn Most Likely Functions or Parameters?
Comments NeurIPS 2023. Code available at https://github.com/activatedgeek/function-space-map
Soil Organic Carbon Estimation from Climate-related Features with Graph Neural Network
Journal ref Tackling Climate Change with Machine Learning: workshop at NeurIPS 2023
Reinforcement Learning for Wildfire Mitigation in Simulated Disaster Environments
Comments 12 pages, 4 figures including Appendices (A, B). Accepted as a paper in the Proposals track at the "Tackling Climate Change with Machine Learning" workshop at NeurIPS 2023. MITRE Public Release Case Number 23-3920
Utilizing Explainability Techniques for Reinforcement Learning Model Assurance
Comments 9 pages, 8 figures including appendices (A, B, C). Accepted as a poster presentation in the demo track at the "XAI in Action: Past, Present, and Future Applications" workshop at NeurIPS 2023. MITRE Public Release Case Number 23-3095
GLIME: General, Stable and Local LIME Explanation
Comments Accepted by NeurIPS 2023 as a Spotlight paper
Information theoretic study of the neural geometry induced by category learning
Comments 7 pages, 2 figures, Accepted (Oral) to InfoCog@NeurIPS 2023
SimSIMS: Simulation-based Supernova Ia Model Selection with thousands of latent variables
Comments Accepted for the NeurIPS 2023 workshop Machine Learning and the Physical Sciences; 5 pages, 3 figures
Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning
Comments Accepted in NeurIPS 2023. Website: https://cameron-chen.github.io/flow-iar/
Concept Distillation: Leveraging Human-Centered Explanations for Model Improvement
Comments Neurips 2023
Causa prima: cosmology meets causal discovery for the first time
Comments ML4PS NeurIPS workshop 2023 accepted
Training a Hopfield Variational Autoencoder with Equilibrium Propagation
Comments Associative Memory & Hopfield Networks in 2023 (NeurIPS 2023 workshop)
One-Shot Transfer Learning for Nonlinear ODEs
Comments 7 pages, 3 figures, accepted to 2023 NeurIPS Workshop of The Symbiosis of Deep Learning and Differential Equations
Towards Publicly Accountable Frontier LLMs: Building an External Scrutiny Ecosystem under the ASPIRE Framework
Comments Accepted to Workshop on Socially Responsible Language Modelling Research (SoLaR) at the 2023 Conference on Neural Information Processing Systems (NeurIPS 2023)
Does Explainable AI Have Moral Value?
Comments Preprint. Work in progress. Accepted at the workshop MP2 at NeurIPS 2023, 15 December 2023, New Orleans, US
Filter bubbles and affective polarization in user-personalized large language model outputs
Comments Accepted to NeurIPS 2023 Workshop "I Can't Believe It's Not Better: Failure Modes in the Age of Foundation Models"
Case Repositories: Towards Case-Based Reasoning for AI Alignment
Comments MP2 workshop @ NeurIPS 2023
Redefining Super-Resolution: Fine-mesh PDE predictions without classical simulations
Comments Accepted at Machine Learning and the Physical Sciences Workshop, NeurIPS 2023
Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer
Comments Accepted by NeurIPS 2023
Threshold KNN-Shapley: A Linear-Time and Privacy-Friendly Approach to Data Valuation
Comments NeurIPS 2023 Spotlight
Energy Discrepancies: A Score-Independent Loss for Energy-Based Models
Comments Camera Ready version for the 37th Conference on Neural Information Processing Systems (NeurIPS 2023). Changes in this revision: Appendix A1: Corrected proof of Theorem 1. Appendix D3: Added definition and numerical experiments for energy discrepancy on binary discrete spaces. Minor changes in the main text and correction of typos. Added new references
Learning Fine-grained View-Invariant Representations from Unpaired Ego-Exo Videos via Temporal Alignment
Comments Accepted by NeurIPS 2023, Project website: https://vision.cs.utexas.edu/projects/AlignEgoExo/
Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices
Comments accepted at NeurIPS'23
Inverse Preference Learning: Preference-based RL without a Reward Function
Comments Updated for NeurIPS 2023 Acceptance
In-Context Impersonation Reveals Large Language Models' Strengths and Biases
Comments Published in NeurIPS 2023 (Spotlight)
How to Prompt LLMs for Text-to-SQL: A Study in Zero-shot, Single-domain, and Cross-domain Settings
Journal ref NeurIPS 2023 Table Representation Learning Workshop
Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference
Comments NeurIPS camera ready version
AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels
Comments NeurIPS 2022 Datasets and Benchmarks Track
PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change
Comments NeurIPS 2023 Track on Datasets and Benchmarks
JetLOV: Enhancing Jet Tree Tagging through Neural Network Learning of Optimal LundNet Variables
Comments Accepted at the NeurIPS 2023 workshop: Machine Learning and the Physical Sciences
