Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning
Comments Accepted to ICML, 2024
期刊&会议
ICML
International Conference on Machine Learning · 会议 · Machine Learning
To Each (Textual Sequence) Its Own: Improving Memorized-Data Unlearning in Large Language Models
Comments Published as a conference paper at ICML 2024
Parameter-Efficient Fine-Tuning with Discrete Fourier Transform
Comments Accepted by ICML 2024
Random Masking Finds Winning Tickets for Parameter Efficient Fine-tuning
Comments ICML 2024
Quality-Weighted Vendi Scores And Their Application To Diverse Experimental Design
Comments Published in International Conference on Machine Learning, ICML 2024. Code can be found in the Vertaix GitHub: https://github.com/vertaix/Quality-Weighted-Vendi-Score. Paper dedicated to Kwame Nkrumah
TSLANet: Rethinking Transformers for Time Series Representation Learning
Comments Accepted in ICML 2024
Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations
Comments 26 pages, 13 figures. ICML'24. Code available at https://github.com/facebookresearch/generative-recommenders
MagicPose: Realistic Human Poses and Facial Expressions Retargeting with Identity-aware Diffusion
Comments Accepted by ICML 2024. MagicPose and MagicDance are the same project. Website:https://boese0601.github.io/magicdance/ Code:https://github.com/Boese0601/MagicDance
A New Linear Scaling Rule for Private Adaptive Hyperparameter Optimization
Comments ICML 2024
SlotGAT: Slot-based Message Passing for Heterogeneous Graph Neural Network
Comments Published as a conference paper at ICML 2023
Auto-Encoding Morph-Tokens for Multimodal LLM
Comments Accepted by ICML 2024
Uniformly Stable Algorithms for Adversarial Training and Beyond
Comments ICML 2024
Constrained Reinforcement Learning Under Model Mismatch
Comments ICML 2024
The Privacy Power of Correlated Noise in Decentralized Learning
Comments Accepted as conference paper at ICML 2024
Improving Interpretation Faithfulness for Vision Transformers
Comments Accepted by ICML 2024
SelfVC: Voice Conversion With Iterative Refinement using Self Transformations
Comments Accepted at ICML 2024
On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems
Comments Accepted by ICML 2020; 39 pages, 6 figures
Understanding Retrieval-Augmented Task Adaptation for Vision-Language Models
Comments The paper is accepted at ICML 2024
Community-Invariant Graph Contrastive Learning
Comments This paper is accepted by ICML-2024
Provably Efficient Reinforcement Learning for Adversarial Restless Multi-Armed Bandits with Unknown Transitions and Bandit Feedback
Comments Accepted by ICML 2024
Fewer Truncations Improve Language Modeling
Comments ICML 2024
Correcting Diffusion-Based Perceptual Image Compression with Privileged End-to-End Decoder
Comments Accepted by ICML 2024
BetterV: Controlled Verilog Generation with Discriminative Guidance
Comments Accepted by ICML 2024
Retrieval-Augmented Score Distillation for Text-to-3D Generation
Comments Accepted to ICML 2024 / Project Page: https://ku-cvlab.github.io/ReDream/
Causal Discovery via Conditional Independence Testing with Proxy Variables
Comments ICML 2024
A Watermark for Large Language Models
Comments 13 pages in the main body. Published at ICML 2023. Code is available at github.com/jwkirchenbauer/lm-watermarking
Interpretable Neural-Symbolic Concept Reasoning
Journal ref Proceedings of the 40th International Conference on Machine Learning, PMLR 202:1801-1825, 2023
A Taxonomy and Library for Visualizing Learned Features in Convolutional Neural Networks
Journal ref 33rd International Conference on Machine Learning (ICML) Workshop on Visualization for Deep Learning, New York City, USA, 2016
Collaborative Heterogeneous Causal Inference Beyond Meta-analysis
Comments submitted to ICML
A Mathematical Model for Curriculum Learning for Parities
Journal ref ICML 2023
