Michal Shlapentokh-Rothman

5 papers · 2021–2025 · 4 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 · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13)

Venues

ICML (2) CVPR (1) EMNLP (1) NAACL (1)

Top co-authors

Derek Hoiem (4) Yu-Xiong Wang (3) Tanmay Gupta (2) Heyi Tao (2) Sethuraman T V (1) Haohan Wang (1) Wilfredo Torres (1) Andy Zhou (1) Yuqun Wu (1) Zhizhong Li (1)

Research topics

Artificial Intelligence (3) Machine Learning (3) Core AI (3) Learning Types (2) Computer Vision (1) Deep Learning (1) Reinforcement Learning (1) Analysis (1) Core Methods (1) Methods (1) Optimization & Theory · Machine Learning (1) Optimization & Theory · Deep Learning (1) Techniques (1)

Keywords

unsupervised learning (1) representation learning (1) zero-shot learning (1) semantic segmentation (1) model selection (1) decision making (1) image retrieval (1) visual question answering (1) self-supervised learning (1) data augmentation (1) in-context learning (1) program synthesis (1) value function (1) monte carlo tree search (1) deep neural network (1) language model (1) synthetic data (1) learning curve (1) test error (1) sequential exploration (1)

Papers

Visual Program Distillation with Template-Based Augmentation EMNLP 2025 Language Agent Tree Search Unifies Reasoning, Acting, and Planning in Language Models ICML 2024 Region-Based Representations Revisited CVPR 2024 WebWISE: Unlocking Web Interface Control for LLMs via Sequential Exploration NAACL 2024 Learning Curves for Analysis of Deep Networks ICML 2021