Oron Anschel
7 papers · 2017–2025 · 5 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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Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(23)
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Hot Topic Early Bird
Top co-authors
Research topics
Machine Learning
(5)
Learning Types · Machine Learning
(5)
Deep Learning
(4)
Computer Vision
(3)
Reinforcement Learning
(3)
Methods
(3)
Artificial Intelligence
(2)
Natural Language Processing
(2)
Applications
(2)
Architectures
(2)
Core AI
(2)
Learning Types · Deep Learning
(2)
Optimization & Theory
(2)
Processing
(2)
Analysis
(1)
Keywords
deep reinforcement learning
(1)
representation learning
(1)
contrastive learning
(1)
reinforcement learning
(1)
policy gradient
(1)
self-supervised learning
(1)
attention mechanism
(1)
video understanding
(1)
visual representation
(1)
gradient estimation
(1)
arcade learning environment
(1)
selective attention
(1)
model-based reinforcement learning
(1)
variance reduction
(1)
value function estimation
(1)
differentiable programming
(1)
convolutional neural network
(1)
sequence-to-sequence learning
(1)
generative adversarial network
(1)
adversarial imitation learning
(1)
Papers
Group-Aware Reinforcement Learning for Output Diversity in Large Language Models
EMNLP 2025
LV-MAE: Learning Long Video Representations through Masked-Embedding Autoencoders
ICCV 2025
GLASS: Global to Local Attention for Scene-Text Spotting
ECCV 2022
Sequence-to-Sequence Contrastive Learning for Text Recognition
CVPR 2021
SCATTER: Selective Context Attentional Scene Text Recognizer
CVPR 2020
Averaged-DQN: Variance Reduction and Stabilization for Deep Reinforcement Learning
ICML 2017
End-to-End Differentiable Adversarial Imitation Learning
ICML 2017