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Fei Sha

71 papers · 2003–2025 · 16 conferences · across top CS/AI conferences

Achievements

πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (14) πŸƒ Academic Marathon (22) 🌍 Conference Polyglot (16) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (26) 🌟 Keyword Trendsetter Combo (4) πŸ† Keyword Champion πŸ† Grand Slam 🌱 Topic Pioneer πŸ‘‘ Triple Crown 🧬 Topic Evolution πŸ”¬ Deep Specialist (10) 🀝 Dynamic Duo (12) πŸ’Ž Century Club (71) πŸ—ƒοΈ Keyword Collector (111) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter ⚑ Prolific Year (5) πŸ”₯ Unstoppable (16) ❓ The Questioner (2)

Conferences

NIPS (16) ICML (11) CVPR (8) AISTATS (7) EMNLP (6) NAACL (6) ICLR (3) ACL (2) COLING (2) ECCV (2) ICCV (2) JMLR (2) AAAI (1) CONLL (1) EACL (1) IJCAI (1)

Top co-authors

Hexiang Hu (12) Kristen Grauman (10) Wei-Lun Chao (8) Yury Zemlyanskiy (7) Peter Shaw (5) Bowen Zhang (5) Shariq Iqbal (5) Linlu Qiu (5) Michiel De Jong (5) Boqing Gong (5)

Research topics

Core AI (1)

Keywords

metric learning (8) representation learning (7) transfer learning (7) dimensionality reduction (4) visual question answering (4) multimodal learning (4) language model (3) visual recognition (3) kernel methods (3) manifold learning (3) convex optimization (3) domain adaptation (3) multi-agent reinforcement learning (3) mutual information (3) semantic parsing (3) multi-task learning (3) embedding learning (3) question answering (3) compositional generalization (3) neural network (3)

Papers

Graders Should Cheat: Privileged Information Enables Expert-Level Automated Evaluations EMNLP 2025
DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems ICML 2024
V2Meow: Meowing to the Visual Beat via Video-to-Music Generation AAAI 2024
A Systematic Comparison of Syllogistic Reasoning in Humans and Language Models NAACL 2024
The Impact of Depth on Compositional Generalization in Transformer Language Models NAACL 2024
FiDO: Fusion-in-Decoder optimized for stronger performance and faster inference ACL 2023
User-defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical Systems ICML 2023
Pre-computed memory or on-the-fly encoding? A hybrid approach to retrieval augmentation makes the most of your compute ICML 2023
Evolve Smoothly, Fit Consistently: Learning Smooth Latent Dynamics For Advection-Dominated Systems ICLR 2023
Encyclopedic VQA: Visual Questions About Detailed Properties of Fine-Grained Categories ICCV 2023
Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models NIPS 2023
Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations NIPS 2023
Improving Compositional Generalization with Latent Structure and Data Augmentation NAACL 2022
ALMA: Hierarchical Learning for Composite Multi-Agent Tasks NIPS 2022
Generate-and-Retrieve: Use Your Predictions to Improve Retrieval for Semantic Parsing COLING 2022
Policy Learning and Evaluation with Randomized Quasi-Monte Carlo AISTATS 2022
Evaluating the Impact of Model Scale for Compositional Generalization in Semantic Parsing EMNLP 2022
Possibility Before Utility: Learning And Using Hierarchical Affordances ICLR 2022
Mention Memory: incorporating textual knowledge into Transformers through entity mention attention ICLR 2022
DOCENT: Learning Self-Supervised Entity Representations from Large Document Collections EACL 2021
ReadTwice: Reading Very Large Documents with Memories NAACL 2021
Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning ICML 2021
Visually Grounded Concept Composition EMNLP 2021
Systematic Generalization on gSCAN: What is Nearly Solved and What is Next? EMNLP 2021
When MAML Can Adapt Fast and How to Assist When It Cannot AISTATS 2021
Amortized Inference of Variational Bounds for Learning Noisy-OR AISTATS 2020
Learning to Represent Image and Text with Denotation Graph EMNLP 2020
BabyWalk: Going Farther in Vision-and-Language Navigation by Taking Baby Steps ACL 2020
Few-Shot Learning via Embedding Adaptation With Set-to-Set Functions CVPR 2020
Hyper-parameter Tuning under a Budget Constraint IJCAI 2019
Actor-Attention-Critic for Multi-Agent Reinforcement Learning ICML 2019
Kernel Approximation Methods for Speech Recognition JMLR 2019
Synthesized Policies for Transfer and Adaptation across Tasks and Environments NIPS 2018
A Probabilistic Model for Joint Learning of Word Embeddings from Texts and Images EMNLP 2018
Multi-Task Learning for Sequence Tagging: An Empirical Study COLING 2018
Robust Active Label Correction AISTATS 2018
Learning Answer Embeddings for Visual Question Answering CVPR 2018
Cross-Dataset Adaptation for Visual Question Answering CVPR 2018
Being Negative but Constructively: Lessons Learnt from Creating Better Visual Question Answering Datasets NAACL 2018
Aiming to Know You Better Perhaps Makes Me a More Engaging Dialogue Partner CONLL 2018
Retrospective Encoders for Video Summarization ECCV 2018
Cross-Modal and Hierarchical Modeling of Video and Text ECCV 2018
FastMask: Segment Multi-Scale Object Candidates in One Shot CVPR 2017
Predicting Visual Exemplars of Unseen Classes for Zero-Shot Learning ICCV 2017
An Empirical Study on The Properties of Random Bases for Kernel Methods NIPS 2017
Synthesized Classifiers for Zero-Shot Learning CVPR 2016
Supervised Word Mover's Distance NIPS 2016
Summary Transfer: Exemplar-Based Subset Selection for Video Summarization CVPR 2016
Similarity Learning for High-Dimensional Sparse Data AISTATS 2015
Marginalizing Stacked Linear Denoising Autoencoders JMLR 2015
Exponential Integration for Hamiltonian Monte Carlo ICML 2015
Demystifying Information-Theoretic Clustering ICML 2014
Two-Stage Metric Learning ICML 2014
Marginalized Denoising Auto-encoders for Nonlinear Representations ICML 2014
Decorrelating Semantic Visual Attributes by Resisting the Urge to Share CVPR 2014
Diverse Sequential Subset Selection for Supervised Video Summarization NIPS 2014
Reshaping Visual Datasets for Domain Adaptation NIPS 2013
Connecting the Dots with Landmarks: Discriminatively Learning Domain-Invariant Features for Unsupervised Domain Adaptation ICML 2013
Analogy-preserving Semantic Embedding for Visual Object Categorization ICML 2013
Similarity Component Analysis NIPS 2013
Deformable Spatial Pyramid Matching for Fast Dense Correspondences CVPR 2013
Non-linear Metric Learning NIPS 2012
Semantic Kernel Forests from Multiple Taxonomies NIPS 2012
Learning a Tree of Metrics with Disjoint Visual Features NIPS 2011
Information Theoretical Clustering via Semidefinite Programming AISTATS 2011
Locally Linear Denoising on Image Manifolds AISTATS 2010
Unsupervised Kernel Dimension Reduction NIPS 2010
DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification NIPS 2008
Large Margin Hidden Markov Models for Automatic Speech Recognition NIPS 2006
Graph Laplacian Regularization for Large-Scale Semidefinite Programming NIPS 2006
Shallow Parsing with Conditional Random Fields NAACL 2003