← Authors

Adams Wei Yu

18 papers · 2014–2024 · 9 conferences · across top CS/AI conferences

Achievements

πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (11) 🌈 Renaissance Researcher (6) 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (31) 🧭 Keyword Pioneer 🌍 Conference Polyglot (9) πŸƒ Academic Marathon (10) πŸ‘‘ Triple Crown πŸ‘₯ Mega-Team (27) πŸ—ƒοΈ Keyword Collector (67) ⚑ Prolific Year (5) πŸš€ Conference Pioneer πŸ’Ž Century Club (18) πŸ”₯ Unstoppable (5) πŸ“ˆ Trend Setter ❓ The Questioner

Conferences

ICLR (5) NIPS (4) ICML (2) JMLR (2) ACL (1) AISTATS (1) COLT (1) CVPR (1) ECCV (1)

Top co-authors

Quoc V. Le (4) Denny Zhou (4) Xinyun Chen (3) Nan Du (3) Quoc Le (2) Chen Liang (2) Quoc V Le (2) Suvrit Sra (2) Yifeng Lu (2) Yining Wang (2)

Keywords

distributed optimization (2) convex optimization (2) structured matrix (1) compressed sensing (1) transfer learning (1) multi-modal learning (1) principal component analysis (1) feature extraction (1) text classification (1) policy gradient (1) primal-dual optimization (1) autonomous driving (1) matrix decomposition (1) perceptron algorithm (1) stochastic optimization (1) compositional generalization (1) experimental design (1) variance reduction (1) linear regression (1) combinatorial optimization (1)

Papers

Large Language Models Cannot Self-Correct Reasoning Yet ICLR 2024
HaloQuest: A Visual Hallucination Dataset for Advancing Multimodal Reasoning ECCV 2024
DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining NIPS 2023
SimVLM: Simple Visual Language Model Pretraining with Weak Supervision ICLR 2022
Does GNN Pretraining Help Molecular Representation? NIPS 2022
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts ICML 2022
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection CVPR 2022
Finetuned Language Models are Zero-Shot Learners ICLR 2022
Compositional Generalization via Neural-Symbolic Stack Machines NIPS 2020
Neural Symbolic Reader: Scalable Integration of Distributed and Symbolic Representations for Reading Comprehension ICLR 2020
DSCOVR: Randomized Primal-Dual Block Coordinate Algorithms for Asynchronous Distributed Optimization JMLR 2019
QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension ICLR 2018
On Computationally Tractable Selection of Experiments in Measurement-Constrained Regression Models JMLR 2017
Learning to Skim Text ACL 2017
An Improved Gap-Dependency Analysis of the Noisy Power Method COLT 2016
AdaDelay: Delay Adaptive Distributed Stochastic Optimization AISTATS 2016
Efficient Structured Matrix Rank Minimization NIPS 2014
Saddle Points and Accelerated Perceptron Algorithms ICML 2014