Neural Conservation Laws: A Divergence-Free Perspective
Journal ref NeurIPS 2022
期刊&会议
NeurIPS
Conference on Neural Information Processing Systems · 会议 · Machine Learning
Bivariate Causal Discovery for Categorical Data via Classification with Optimal Label Permutation
Journal ref NeurIPS 2022
Improving Self-Supervised Learning by Characterizing Idealized Representations
Comments Accepted at NeurIPS 2022
Fault-Aware Neural Code Rankers
Comments In the proceedings of Advances in Neural Information Processing Systems, 2022
ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection
Comments published in NeurIPS 2022
Deep Multi-Modal Structural Equations For Causal Effect Estimation With Unstructured Proxies
Comments NeurIPS 2022 (accepted version)
Semi-Discrete Normalizing Flows through Differentiable Tessellation
Journal ref NeurIPS 2022
Understanding stock market instability via graph auto-encoders
Comments Submitted to Glinda workshop of the Neurips 2022 conference Keywords : Graph Based Learning, Graph Neural Networks, Graph Autoencoder, Stock Market Information, Volatility Forecasting
BigScience: A Case Study in the Social Construction of a Multilingual Large Language Model
Comments Presented at the 2022 NeurIPS Workshop on Broadening Research Collaborations in ML
Ad-hoc Pulse Shape Simulation using Cyclic Positional U-Net
Comments Accepted by NeurIPS 2022 ML4PS workshop as workshop paper; Selected to receive the MLST outstanding paper award
Information-Theoretic Safe Exploration with Gaussian Processes
Comments Submitted to NeurIPS 2022
Remote estimation of geologic composition using interferometric synthetic-aperture radar in California's Central Valley
Comments 10 pages, 7 figures, NeurIPS 2022
Simulation-Based Parallel Training
Journal ref NeurIPS 2022 - AI for Science Workshop, Nov 2022, New Orleans, United States
A Case for Rejection in Low Resource ML Deployment
Journal ref NeurIPS 2022 workshop on Challenges In Deploying And Monitoring Machine Learning Systems
LogiGAN: Learning Logical Reasoning via Adversarial Pre-training
Comments Accepted by NeurIPS 2022
Learning Options via Compression
Comments Published at NeurIPS 2022
An Interpretable Model of Climate Change Using Correlative Learning
Comments NeurIPS 2022 Workshop - Tackling Climate Change with Machine Learning, 4 page limit w/ appendix
A Modality-level Explainable Framework for Misinformation Checking in Social Networks
Comments Accepted to publication at LatinX in AI workshop at the Thirty-sixth Conference on Neural Information Processing Systems, LXAI @ NeurIPS 2022
RainUNet for Super-Resolution Rain Movie Prediction under Spatio-temporal Shifts
Comments NeurIPS 2022, Weather4Cast core challenge
Unsupervised language models for disease variant prediction
Comments Machine Learning for Structural Biology Workshop, NeurIPS 2022
Experiences from the MediaEval Predicting Media Memorability Task
Comments 7 pages, 2 figures, 1 table. Presented at the NeurIPS 2022 Workshop on Memory in Artificial and Real Intelligence (MemARI), 2 December 2022, New Orleans, USA
Learning on Graphs for Mineral Asset Valuation Under Supply and Demand Uncertainty
Comments NeurIPS 2022 (GLIndA)
DeepInteraction: 3D Object Detection via Modality Interaction
Comments To appear at NeurIPS 2022. 16 pages, 7 figure
Recurrent Memory Transformer
Comments 36th Conference on Neural Information Processing Systems (NeurIPS 2022)
Data Augmentation MCMC for Bayesian Inference from Privatized Data
Comments 17 pages, 3 figures, 2 tables. NeurIPS 2022
Metric Elicitation; Moving from Theory to Practice
Comments The paper to appear at Human-Centered AI workshop at NeurIPS, 2022. arXiv admin note: text overlap with arXiv:2208.09142
MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy
Comments NeurIPS 2022 Cell Segmentation Challenge
Tracking the Dynamics of the Tear Film Lipid Layer
Comments NeurIPS Medical Imaging Workshop
Contactless Oxygen Monitoring with Gated Transformer
Comments 19 pages, Workshop on Learning from Time Series for Health, NeurIPS 2022
Proposal of a Score Based Approach to Sampling Using Monte Carlo Estimation of Score and Oracle Access to Target Density
Comments Appeared in NeurIPS 2022 workshop on Score Based Methods
