On the Robustness of Dataset Inference
Comments 19 pages; Accepted to Transactions on Machine Learning Research 06/2023
期刊&会议
TMLR
Transactions on Machine Learning Research · 期刊 · Machine Learning
Solving Nonconvex-Nonconcave Min-Max Problems exhibiting Weak Minty Solutions
Comments published in TMLR
Calibrate and Debias Layer-wise Sampling for Graph Convolutional Networks
Comments Published at TMLR. Code is available at https://github.com/ychen-stat-ml/GCN-layer-wise-sampling
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition
Comments Published in Transactions on Machine Learning Research (TMLR), June 2023
When Does Uncertainty Matter?: Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making
Journal ref Transactions on Machine Learning Research, 2023
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Comments 27 pages, 17 figures + references and appendices, repo: https://github.com/google/BIG-bench
Journal ref Transactions on Machine Learning Research, May/2022, https://openreview.net/forum?id=uyTL5Bvosj
Retiring $Δ$DP: New Distribution-Level Metrics for Demographic Parity
Comments Accepted by TMLR. Code available at https://github.com/ahxt/new_metric_for_demographic_parity
Guillotine Regularization: Why removing layers is needed to improve generalization in Self-Supervised Learning
Comments Accepted at TMLR 2023
Federated Learning under Covariate Shifts with Generalization Guarantees
Comments Published in Transactions on Machine Learning Research (TMLR)
A Measure of the Complexity of Neural Representations based on Partial Information Decomposition
Comments 31 pages, 12 figures
Journal ref Transactions on Machine Learning Research (TMLR), 05/2023
Reducing Predictive Feature Suppression in Resource-Constrained Contrastive Image-Caption Retrieval
Comments Published in Transactions on Machine Learning Research OpenReview: https://openreview.net/forum?id=T1XtOqrVKn Code: https://github.com/MauritsBleeker/reducing-predictive-feature-suppression. Video: https://www.youtube.com/watch?v=oxa5AbGrKCY
Supervised Knowledge May Hurt Novel Class Discovery Performance
Comments TMLR 2023 accepted paper. arXiv admin note: substantial text overlap with arXiv:2209.09120
Empirical Study on Optimizer Selection for Out-of-Distribution Generalization
Comments Accepted to TMLR
L-SVRG and L-Katyusha with Adaptive Sampling
Comments Published in Transactions on Machine Learning Research (03/2023)
Denise: Deep Robust Principal Component Analysis for Positive Semidefinite Matrices
Journal ref Transactions on Machine Learning Research (2023)
Action Noise in Off-Policy Deep Reinforcement Learning: Impact on Exploration and Performance
Comments Published in Transactions on Machine Learning Research (11/2022) https://openreview.net/forum?id=NljBlZ6hmG
Noise-robust Graph Learning by Estimating and Leveraging Pairwise Interactions
Comments accepted to TMLR
Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic Forecasting
Comments Published in Transactions on Machine Learning Research, 2023
Journal ref Transactions on Machine Learning Research, 2023
Aux-Drop: Handling Haphazard Inputs in Online Learning Using Auxiliary Dropouts
Comments Accepted at Transactions on Machine Learning Research (TMLR). Link: https://openreview.net/pdf?id=R9CgBkeZ6Z
Journal ref Transactions on Machine Learning Research, 2023
Learning Interpolations between Boltzmann Densities
Comments TMLR
Mean-Field Control based Approximation of Multi-Agent Reinforcement Learning in Presence of a Non-decomposable Shared Global State
Journal ref Transactions on Machine Learning Research, May 2023
Do Vision-Language Pretrained Models Learn Composable Primitive Concepts?
Comments Published in Transactions on Machine Learning Research (TMLR) 2023
Personalized Federated Learning: A Unified Framework and Universal Optimization Techniques
Journal ref Published in Transactions on Machine Learning Research (May/2023)
A Simulation Environment and Reinforcement Learning Method for Waste Reduction
Comments 20 pages, 4 figures, 4 tables, 3 listings, 1 algorithm
Journal ref TMLR, May 2023
Lightweight Learner for Shared Knowledge Lifelong Learning
Comments Transactions on Machine Learning Research (TMLR) paper
Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training
Comments Published in Transactions on Machine Learning Research
Journal ref Transactions on Machine Learning Research, 2023
Variational Disentanglement for Domain Generalization
Comments Accepted to TMLR 2022
Attacking Perceptual Similarity Metrics
Comments TMLR 2023 (Featured Certification). Code is available at https://tinyurl.com/attackingpsm
Proportional Fairness in Federated Learning
Comments Accepted at TMLR 2023, code: https://github.com/huawei-noah/Federated-Learning/tree/main/FairFL
Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning
Journal ref Pásztor, B., Krause, A., & Bogunovic, I. (2023). Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning. Transactions on Machine Learning Research
