Neural Implicit Dictionary via Mixture-of-Expert Training
Comments International Conference on Machine Learning (ICML), 2022
期刊&会议
ICML
International Conference on Machine Learning · 会议 · Machine Learning
Nonparametric Embeddings of Sparse High-Order Interaction Events
Comments 9 pages, ICML 2022
Individual Preference Stability for Clustering
Comments Accepted to ICML'22. This is a full version of the ICML version as well as a substantially improved version of arXiv:2006.04960
Play It Cool: Dynamic Shifting Prevents Thermal Throttling
Comments ICML DyNN Workshop 2022 Spotlight
Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond
Comments Accepted at ICML 2022. The code is released at https://github.com/Haoxiang-Wang/gradual-domain-adaptation
The Importance of Non-Markovianity in Maximum State Entropy Exploration
Comments ICML 2022
How to Leverage Unlabeled Data in Offline Reinforcement Learning
Comments ICML 2022
Multi-Task Learning as a Bargaining Game
Comments ICML 2022
Invariant Ancestry Search
Comments International Conference of Machine Learning (ICML) 2022
Inferring Structural Parameters of Low-Surface-Brightness-Galaxies with Uncertainty Quantification using Bayesian Neural Networks
Comments 9 pages, 7 figures. accepted to the ICML 2022 Machine Learning for Astrophysics workshop
Neural Language Models are not Born Equal to Fit Brain Data, but Training Helps
Journal ref ICML 2022 - 39th International Conference on Machine Learning, Jul 2022, Baltimore, United States. pp.18
Back to the Basics: Revisiting Out-of-Distribution Detection Baselines
Comments ICML Workshop on Principles of Distribution Shift 2022
FedHeN: Federated Learning in Heterogeneous Networks
Comments Workshop paper to be appear at DyNN, ICML 2022
Multi-Task Retrieval-Augmented Text Generation with Relevance Sampling
Comments Accepted at the ICML 2022 Workshop on Knowledge Retrieval and Language Models (KRLM)
Riemannian Diffusion Schrödinger Bridge
Comments Accepted to Continuous Time Methods for Machine Learning, ICML 2022
Branchformer: Parallel MLP-Attention Architectures to Capture Local and Global Context for Speech Recognition and Understanding
Comments Accepted at ICML 2022
Mitigating shortage of labeled data using clustering-based active learning with diversity exploration
Comments Accepted by the ICML 2022 Workshop on Adaptive Experimental Design and Active Learning in the Real World
The StarCraft Multi-Agent Challenges+ : Learning of Multi-Stage Tasks and Environmental Factors without Precise Reward Functions
Comments ICML Workshop: AI for Agent Based Modeling 2022 Spotlight
Two-Timescale Stochastic Approximation for Bilevel Optimisation Problems in Continuous-Time Models
Comments Accepted at ICML 2022 Workshop on Continuous Time Methods in Machine Learning
Contrastive Learning with Boosted Memorization
Comments accepted by ICML 2022
The Multivariate Community Hawkes Model for Dependent Relational Events in Continuous-time Networks
Comments To appear at ICML 2022. Code available at https://github.com/IdeasLabUT/Multivariate-Community-Hawkes
Provable Domain Generalization via Invariant-Feature Subspace Recovery
Comments ICML 2022 camera-ready version. The code is released at https://github.com/Haoxiang-Wang/ISR
Offline Meta-Reinforcement Learning with Online Self-Supervision
Comments 8.5 pages, 6 figures, accepted to ICML 2022
An Unsupervised Learning Approach for Quasar Continuum Prediction
Comments 6 pages, 3 figures, accepted to the ICML 2022 Machine Learning for Astrophysics workshop
Astroconformer: Inferring Surface Gravity of Stars from Stellar Light Curves with Transformer
Comments 6 pages, 4 figures, accepted to the ICML 2022 Machine Learning for Astrophysics workshop
Galaxy Merger Reconstruction with Equivariant Graph Normalizing Flows
Comments 6 pages, 3 figures, accepted to the ICML 2022 Machine Learning for Astrophysics workshop
Unsupervised Learning for Stellar Spectra with Deep Normalizing Flows
Comments 6 pages, 3 figures, accepted to the ICML 2022 Machine Learning for Astrophysics workshop
Don't Pay Attention to the Noise: Learning Self-supervised Representations of Light Curves with a Denoising Time Series Transformer
Comments ICML 2022 Workshop: Machine Learning for Astrophysics
Pre-training Transformers for Molecular Property Prediction Using Reaction Prediction
Comments Accepted to the 2022 ICML Workshop 2nd AI for Science
Frustratingly Easy Transferability Estimation
Comments Accepted by ICML 2022
