Aayush Mishra

4 papers · 2024–2025 · 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 (10) ❓ The Questioner

Venues

EMNLP (1) ICLR (1) ICML (1) UAI (1)

Top co-authors

Anqi Liu (2) Daniel Khashabi (2) Adam Kortylewski (1) Lingfeng Shen (1) Prakhar Kaushik (1) Muhan Gao (1) Zhouxiang Fang (1) Alan Yuille (1)

Research topics

Machine Learning (4) Artificial Intelligence (3) Core AI (3) Deep Learning (2) Optimization & Theory (2) Computer Vision (1) Natural Language Processing (1) Analysis (1) Application Areas (1) Generation (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Models (1)

Keywords

in-context learning (2) domain adaptation (1) pose estimation (1) 3d vision (1) gradient descent (1) distribution shift (1) output distribution (1) generative model (1) error bound (1) pre-trained transformer (1) task learning (1) performance estimation (1) large language model (1) bijective mapping (1) task retrieval (1) domain classifier (1) substitution cipher (1) overlap-aware disagreement discrepancy (1) demonstrations (1) unsupervised learning (1)

Papers

ICL CIPHERS: Quantifying ”Learning” in In-Context Learning via Substitution Ciphers EMNLP 2025 ODD: Overlap-aware Estimation of Model Performance under Distribution Shift UAI 2025 Position: Do pretrained Transformers Learn In-Context by Gradient Descent? ICML 2024 Source-Free and Image-Only Unsupervised Domain Adaptation for Category Level Object Pose Estimation ICLR 2024