I try to keep it up to date; check my Scholar page for the full list.
2024
2023
2022
- Character-Aware Models Improve Visual Text Rendering
ACL 2023 arXiv Twitter thread - Extremely Simple Activation Shaping for Out-of-Distribution Detection
ICLR 2023 arXiv Website Video Code Twitter thread - What does a platypus look like? Generating customized prompts for zero-shot image classification
ICCV 2023 arXiv Code Twitter thread - Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
TMLR arXiv Code Twitter thread - When less is more: Simplifying inputs aids neural network understanding
arXiv Twitter thread
2021
- Natural Adversarial Objects
Data Centric AI, NeurIPS 2021 arXiv Twitter thread - Language Models are Few-shot Multilingual Learners
EMNLP 2021 MRL Workshop arXiv - Why is Pruning at Initialization Immune to Reinitializing and Shuffling?
SNN Workshop 2021 arXiv - When does loss-based prioritization fail?
ICML 2021 SubSetML Workshop arXiv
2020
2019
- Plug and Play Language Models: a Simple Approach to Controlled Text Generation
ICLR 2020 Blog post Video Code Twitter thread arXiv Demo - LCA: Loss Change Allocation for Neural Network Training
NeurIPS 2019 Blog post Code arXiv - Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask
NeurIPS 2019 Blog post Code arXiv
2018
- An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents
IJCAI 2019 Blog post Video Code arXiv - Faster Neural Networks Straight from JPEG
NeurIPS 2018 Blog post Code arXiv - An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution
NeurIPS 2018 Blog post Video Code Twitter thread arXiv - Measuring the Intrinsic Dimension of Objective Landscapes
ICLR 2018 Blog post Video Code arXiv
2017
2016
2015
- Machine learning approaches for elastic localization linkages in high-contrast composite materials
IMMI 2015 PDF - Pruned search: A machine learning based meta-heuristic approach for constrained continuous optimization
IC3 2015 PDF - A predictive machine learning approach for microstructure optimization and materials design
nature.com PDF - A Machine Learning-Based Design Representation Method for Designing Heterogeneous Microstructures
Journal of Mechanical Design PDF - A scalable hierarchical clustering algorithm using spark
BigDataService 2015 PDF