Amit Sharma

20 papers · 2013–2025 · 10 conferences · across top CS/AI conferences

Achievements

+11 more ↓

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (10) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🏃 Academic Marathon (12)

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🏆 Keyword Champion (2) 🏆 Grand Slam 🗃️ Keyword Collector (50) ⚡ Prolific Year (6) 🚀 Conference Pioneer 💎 Century Club (20) 🔥 Unstoppable (6) ❓ The Questioner

Conferences

ICML (5) ICLR (4) ACL (3) NIPS (2) AAAI (1) EMNLP (1) IJCAI (1) MIDL (1) UAI (1) WACV (1)

Top co-authors

Abhinav Kumar (4) Abbavaram Gowtham Reddy (3) Amit Deshpande (3) Shruti Tople (2) Vineeth N. Balasubramanian (2) Vineeth N Balasubramanian (2) Nagarajan Natarajan (2) Atharva Pandey (2) Aniket Vashishtha (2) Priyankar Ghosh (1)

Keywords

causal inference (5) domain generalization (3) large language model (3) structural causal model (3) in-context learning (2) representation learning (2) causal effect (2) prompt optimization (2) neural network (2) spurious correlation (2) in-context example (2) information retrieval (1) algorithmic fairness (1) task generalization (1) prompt engineering (1) adversarial learning (1) data augmentation (1) sublinear regret (1) text classification (1) privacy attack (1)

Papers

RE-IMAGINE: Symbolic Benchmark Synthesis for Reasoning Evaluation ICML 2025 Teaching Transformers Causal Reasoning through Axiomatic Training ICML 2025 Task Facet Learning: A Structured Approach To Prompt Optimization ACL 2025 Evaluating the Effectiveness and Scalability of LLM-Based Data Augmentation for Retrieval EMNLP 2025 Robust Root Cause Diagnosis using In-Distribution Interventions ICLR 2025 Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference ICLR 2025 Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals ICLR 2024 NICE: To Optimize In-Context Examples or Not? ACL 2024 Lupus Nephritis Subtype Classification with only Slide Level Labels MIDL 2024 Controlling Learned Effects to Reduce Spurious Correlations in Text Classifiers ACL 2023 Combinatorial categorized bandits with expert rankings UAI 2023 Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization ICLR 2023 Causal Effect Regularization: Automated Detection and Removal of Spurious Correlations NIPS 2023 Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals WACV 2022 Matching Learned Causal Effects of Neural Networks with Domain Priors ICML 2022 Probing Classifiers are Unreliable for Concept Removal and Detection NIPS 2022 The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective AAAI 2021 Domain Generalization using Causal Matching ICML 2021 Alleviating Privacy Attacks via Causal Learning ICML 2020 Algorithms for Generating Ordered Solutions for Explicit AND/OR Structures: Extended Abstract IJCAI 2013