Rishabh Singh

22 papers · 2017–2023 · 7 conferences · across top CS/AI conferences

Achievements

+13 more ↓

🌍 Conference Polyglot (7) 🏃 Academic Marathon (6) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (13)

🌈 Renaissance Researcher (8) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (7) 👑 Triple Crown 🏆 Grand Slam 🌱 Topic Pioneer 🏆 Keyword Champion (2) 💎 Century Club (22) 📈 Trend Setter 🚀 Conference Pioneer ⚡ Prolific Year (5) 🔥 Unstoppable (7) 🗃️ Keyword Collector (86)

Conferences

ICLR (7) ICML (6) NIPS (5) AAAI (1) ACL (1) NAACL (1) UAI (1)

Top co-authors

Pushmeet Kohli (5) David Bieber (4) Hanjun Dai (4) Charles Sutton (4) Petros Maniatis (3) Jacob Devlin (3) Matthew Hausknecht (2) Chenglong Wang (2) Po-Sen Huang (2) Charles A. Sutton (2)

Keywords

program synthesis (5) neural network (3) transfer learning (2) program induction (2) reinforcement learning (2) few-shot learning (2) graph neural network (2) neural program synthesis (2) semi-supervised learning (1) text classification (1) time series analysis (1) uncertainty quantification (1) object detection (1) symbolic reasoning (1) domain adaptation (1) image classification (1) referring expression (1) autonomous driving (1) variational inference (1) text generation (1)

Papers

Measuring the Impact of Programming Language Distribution ICML 2023 Platt-Bin: Efficient Posterior Calibrated Training for NLP Classifiers ACL 2022 Scaling Symbolic Methods using Gradients for Neural Model Explanation ICLR 2021 Latent Programmer: Discrete Latent Codes for Program Synthesis ICML 2021 BUSTLE: Bottom-Up Program Synthesis Through Learning-Guided Exploration ICLR 2021 Learning Semantic Representations to Verify Hardware Designs NIPS 2021 SpreadsheetCoder: Formula Prediction from Semi-structured Context ICML 2021 Time Series Analysis using a Kernel based Multi-Modal Uncertainty Decomposition Framework UAI 2020 Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration NIPS 2020 Global Relational Models of Source Code ICLR 2020 Generating Programmatic Referring Expressions via Program Synthesis ICML 2020 Synthetic Datasets for Neural Program Synthesis ICLR 2019 VPDS: An AI-Based Automated Vehicle Occupancy and Violation Detection System AAAI 2019 Learning Transferable Graph Exploration NIPS 2019 Neural Program Repair by Jointly Learning to Localize and Repair ICLR 2019 Interpreting Neural Network Judgments via Minimal, Stable, and Symbolic Corrections NIPS 2018 Natural Language to Structured Query Generation via Meta-Learning NAACL 2018 Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis ICLR 2018 Dynamic Neural Program Embeddings for Program Repair ICLR 2018 Programmatically Interpretable Reinforcement Learning ICML 2018 Neural Program Meta-Induction NIPS 2017 RobustFill: Neural Program Learning under Noisy I/O ICML 2017