Inferring the Goals of Communicating Agents from Actions and Instructions
Comments 8 pages, 5 figures. Accepted to the ICML 2023 Workshop on Theory of Mind in Communicating Agents. Supplementary Information: https://osf.io/gh758/
期刊&会议
ICML
International Conference on Machine Learning · 会议 · Machine Learning
Action and Trajectory Planning for Urban Autonomous Driving with Hierarchical Reinforcement Learning
Comments ICML Workshop on New Frontiers in Learning, Control, and Dynamical Systems
Curious Replay for Model-based Adaptation
Comments Accepted at ICML 2023. Website at https://sites.google.com/view/curious-replay
SpotEM: Efficient Video Search for Episodic Memory
Comments Published in ICML 2023
Stochastic Gradient Bayesian Optimal Experimental Designs for Simulation-based Inference
Comments Presented at ICML 2023 workshop on Differentiable Everything
Toward a Spectral Foundation Model: An Attention-Based Approach with Domain-Inspired Fine-Tuning and Wavelength Parameterization
Comments 7 pages, 3 figures, accepted to ICML 2023 Workshop on Machine Learning for Astrophysics
The Neuro-Symbolic Inverse Planning Engine (NIPE): Modeling Probabilistic Social Inferences from Linguistic Inputs
Comments To appear at ICML Workshop on Theory of Mind in Communicating Agents
Genomic Interpreter: A Hierarchical Genomic Deep Neural Network with 1D Shifted Window Transformer
Comments 40th International Conference on Machine Learning (ICML 2023) Workshop on Computational Biology (WCB)
Multi-task Hierarchical Adversarial Inverse Reinforcement Learning
Comments This paper is accepted at ICML 2023. arXiv admin note: text overlap with arXiv:2210.01969
Test-time Adaptation with Slot-Centric Models
Comments Accepted at ICML 2023. Project website at https://slot-tta.github.io/
On the Usefulness of Synthetic Tabular Data Generation
Comments Data-centric Machine Learning Research (DMLR) Workshop at the 40th International Conference on Machine Learning (ICML)
Semi Bandit Dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees
Comments ICML 2023
Quadtree features for machine learning on CMDs
Comments 10 pages, 6 figures. Submitted to the International Conference on Machine Learning 2023
Anomaly Detection in Networks via Score-Based Generative Models
Comments 16 pages, 8 figures, ICML workshop on Structured Probabilistic Inference & Generative Modeling
BatchGFN: Generative Flow Networks for Batch Active Learning
Comments Accepted at the Structured Probabilistic Inference & Generative Modeling workshop, ICML 2023
A Cosine Similarity-based Method for Out-of-Distribution Detection
Comments Accepted paper at ICML 2023 Workshop on Spurious Correlations, Invariance, and Stability. 10 pages (4 main + appendix)
Uncertainty Estimation for Molecules: Desiderata and Methods
Comments Published as conference paper at ICML 2023
Data-Driven Approach for Formality-Sensitive Machine Translation: Language-Specific Handling and Synthetic Data Generation
Comments Accepted for Data-centric Machine Learning Research (DMLR) Workshop at ICML 2023
Molecule-Morphology Contrastive Pretraining for Transferable Molecular Representation
Comments ICML 2023 Workshop on Computational Biology
Discovering Object-Centric Generalized Value Functions From Pixels
Comments Accepted at ICML 2023
Mu$^{2}$SLAM: Multitask, Multilingual Speech and Language Models
Comments ICML 2023
LongCoder: A Long-Range Pre-trained Language Model for Code Completion
Comments ICML 2023
Challenges and Opportunities of Shapley values in a Clinical Context
Journal ref ICML 2022 Workshop on Interpretable Machine Learning in Healthcare
PWSHAP: A Path-Wise Explanation Model for Targeted Variables
Journal ref International Conference on Machine Learning 2023
Knowledge Graph-Augmented Korean Generative Commonsense Reasoning
Comments Accepted for Data-centric Machine Learning Research (DMLR) Workshop at ICML 2023
Synthetic Alone: Exploring the Dark Side of Synthetic Data for Grammatical Error Correction
Comments Accepted for Data-centric Machine Learning Research (DMLR) Workshop at ICML 2023
Transcending Traditional Boundaries: Leveraging Inter-Annotator Agreement (IAA) for Enhancing Data Management Operations (DMOps)
Comments Accepted for Data-centric Machine Learning Research (DMLR) Workshop at ICML 2023
Inter-Annotator Agreement in the Wild: Uncovering Its Emerging Roles and Considerations in Real-World Scenarios
Comments Accepted for Data-centric Machine Learning Research (DMLR) Workshop at ICML 2023
Computational Asymmetries in Robust Classification
Journal ref 40th International Conference on Machine Learning (ICML 2023)
Let's Do a Thought Experiment: Using Counterfactuals to Improve Moral Reasoning
Comments 8 pages, ICML Neural Conversational AI workshop, thought experiments, moral reasoning
