Adams Wei Yu
18 papers · 2014–2024 · 9 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (41) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Topic Evolution
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Keyword Champion
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Triple Crown
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Conference Pioneer
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Unstoppable Β· Bronze
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The Questioner
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Trend Setter
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Keyword Collector
(90)
Top co-authors
Research topics
Machine Learning
(10)
Artificial Intelligence
(8)
Deep Learning
(7)
Core AI
(7)
Optimization & Theory
(7)
Mathematics & Optimization
(6)
Natural Language Processing
(5)
Optimization
(5)
Architectures
(4)
Core Methods
(4)
Learning Types Β· Deep Learning
(4)
Applications
(3)
Application Areas
(2)
Learning Paradigms
(2)
Learning Types Β· Machine Learning
(2)
Keywords
reading comprehension
(2)
distributed optimization
(2)
weak supervision
(2)
data augmentation
(2)
convex optimization
(2)
few-shot learning
(1)
zero-shot learning
(1)
structured matrix
(1)
principal component analysis
(1)
feature extraction
(1)
text classification
(1)
policy gradient
(1)
visual question answering
(1)
compressed sensing
(1)
multimodal learning
(1)
neural machine translation
(1)
question answering
(1)
image captioning
(1)
primal-dual optimization
(1)
transfer learning
(1)
Papers
HaloQuest: A Visual Hallucination Dataset for Advancing Multimodal Reasoning
ECCV 2024
Large Language Models Cannot Self-Correct Reasoning Yet
ICLR 2024
DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining
NeurIPS 2023
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection
CVPR 2022
Does GNN Pretraining Help Molecular Representation?
NeurIPS 2022
Finetuned Language Models are Zero-Shot Learners
ICLR 2022
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts
ICML 2022
SimVLM: Simple Visual Language Model Pretraining with Weak Supervision
ICLR 2022
Compositional Generalization via Neural-Symbolic Stack Machines
NeurIPS 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
Learning to Skim Text
ACL 2017
On Computationally Tractable Selection of Experiments in Measurement-Constrained Regression Models
JMLR 2017
AdaDelay: Delay Adaptive Distributed Stochastic Optimization
AISTATS 2016
An Improved Gap-Dependency Analysis of the Noisy Power Method
COLT 2016
Efficient Structured Matrix Rank Minimization
NeurIPS 2014
Saddle Points and Accelerated Perceptron Algorithms
ICML 2014