Statistical Guarantees for Fairness Aware Plug-In Algorithms
Comments This paper was accepted at the workshop on Socially Responsible Machine Learning, ICML 2021
期刊&会议
ICML
International Conference on Machine Learning · 会议 · Machine Learning
Don't Sweep your Learning Rate under the Rug: A Closer Look at Cross-modal Transfer of Pretrained Transformers
Comments Accepted to ICML 2021 Workshop: Self-Supervised Learning for Reasoning and Perception
Diffusion Earth Mover's Distance and Distribution Embeddings
Comments Presented at ICML 2021
A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in Federated Learning
Comments Accepted as Oral presentation at International Workshop on Federated Learning for User Privacy and Data Confidentiality in Conjunction with ICML 2021 (FL-ICML'21)
Are Bayesian neural networks intrinsically good at out-of-distribution detection?
Comments Published at UDL Workshop, ICML 2021
GCExplainer: Human-in-the-Loop Concept-based Explanations for Graph Neural Networks
Comments Accepted as 3rd ICML Workshop on Human in the Loop Learning, 2021
Graph Representation Learning on Tissue-Specific Multi-Omics
Comments This paper was accepted at the 2021 ICML Workshop on Computational Biology
The Impact of Negative Sampling on Contrastive Structured World Models
Comments This work appeared at the ICML 2021 Workshop: Self-Supervised Learning for Reasoning and Perception
Discrete Denoising Flows
Comments Accepted to the Third workshop on Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood Models (ICML 2021)
Using a Cross-Task Grid of Linear Probes to Interpret CNN Model Predictions On Retinal Images
Comments Extended abstract at Interpretable Machine Learning in Healthcare (IMLH) workshop at ICML 2021
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning
Comments ICML 2021; Project Page: https://ioujenliu.github.io/CMAE/
Neural message passing for joint paratope-epitope prediction
Comments ICML Workshop on Computational Biology 2021 , 5 pages, 2 figures
AGENT: A Benchmark for Core Psychological Reasoning
Comments ICML 2021, 12 pages, 7 figures
What does LIME really see in images?
Comments 30 pages, 13 figures, accepted to ICML 2021
Prediction-Centric Learning of Independent Cascade Dynamics from Partial Observations
Comments International Conference on Machine Learning 2021, p. 11182-11192
On Efficient Optimal Transport: An Analysis of Greedy and Accelerated Mirror Descent Algorithms
Comments Derive the explicit dual objective function for APDAMD (Remark 4.2) which satisfies Lemma~4.1; Accepted by ICML 2019; The longer version is available here: arXiv:1906.01437
Geometric convergence of elliptical slice sampling
Comments 13 pages, 2 figures, Accepted in the Proceedings of the 38th International Conference on Machine Learning
Effective and Interpretable fMRI Analysis via Functional Brain Network Generation
Comments This paper has been accepted for ICML 2021 Workshop for Interpretable Machine Learning in Healthcare
What are you optimizing for? Aligning Recommender Systems with Human Values
Comments Originally presented at the ICML 2020 Participatory Approaches to Machine Learning workshop
Structured Convolutional Kernel Networks for Airline Crew Scheduling
Comments ICML 2021 (Proceedings of the 38th International Conference on Machine Learning, PMLR 139:11626-11636)
Rigging the Lottery: Making All Tickets Winners
Comments Published in Proceedings of the 37th International Conference on Machine Learning. Code can be found in github.com/google-research/rigl
Journal ref Proceedings of the 37th International Conference on Machine Learning (2020) 471-481
High Frequency EEG Artifact Detection with Uncertainty via Early Exit Paradigm
Comments ICML 2021 Workshop on Human In the Loop Learning
Solving inverse problems with deep neural networks driven by sparse signal decomposition in a physics-based dictionary
Comments Accepted for publication in Workshop on Interpretable ML in Healthcare at International Conference on Machine Learning (ICML) 2021. 10 pages (including 3 for references), 4 figures
Data Considerations in Graph Representation Learning for Supply Chain Networks
Comments ICML 2021 Workshop on Machine Learning for Data
Reinforcement Learning Agent Training with Goals for Real World Tasks
Comments Accepted to Reinforcement Learning for Real Life (RL4RealLife) Workshop in the 38th International Conference on Machine Learning
Understanding Invariance via Feedforward Inversion of Discriminatively Trained Classifiers
Comments Camera Ready ICML 2021
Function Contrastive Learning of Transferable Meta-Representations
Comments ICML 2021
Memory-Efficient Pipeline-Parallel DNN Training
Comments Accepted to ICML 2021
Adversarial Robustness Guarantees for Random Deep Neural Networks
Journal ref Proceedings of the 38th International Conference on Machine Learning, PMLR 139:2522-2534, 2021
On the Memorization Properties of Contrastive Learning
Comments Published in Workshop on Overparameterization: Pitfalls & Opportunities at ICML 2021
