Skip to content
conftrace_

Rishabh Singh

22 papers · 2017–2023 · 7 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

Jump to papers ↓
+12 more ↓ πŸ—ΊοΈ Taxonomy Completionist (51) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🐣 Hot Topic Early Bird
🌱 Topic Pioneer πŸ‘‘ Triple Crown 🧭 Keyword Pioneer 🧬 Topic Evolution πŸ† Grand Slam ⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Bronze πŸ—ƒοΈ Keyword Collector (113) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ’Ž Century Club Β· Bronze 🌈 Renaissance Researcher (6)

Venues

ICLR (7) ICML (6) NeurIPS (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)

Research topics

Machine Learning (16) Artificial Intelligence (14) Deep Learning (12) Core AI (10) Core Methods (8) Architectures (6) Learning Types (6) Learning Paradigms (4) Application Areas (3) Models (3) Optimization & Theory (3) Mathematics & Optimization (2) Natural Language Processing (2) Reinforcement Learning (2) Bayesian & Probabilistic (2)

Keywords

program synthesis (7) graph neural network (3) neural network (3) neural program synthesis (3) reinforcement learning (3) transfer learning (2) program induction (2) few-shot learning (2) input-output example (2) semi-supervised learning (1) uncertainty quantification (1) text classification (1) object detection (1) symbolic reasoning (1) time series analysis (1) domain adaptation (1) autonomous driving (1) image classification (1) supervised learning (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 BUSTLE: Bottom-Up Program Synthesis Through Learning-Guided Exploration ICLR 2021 Latent Programmer: Discrete Latent Codes for Program Synthesis ICML 2021 Learning Semantic Representations to Verify Hardware Designs NeurIPS 2021 Scaling Symbolic Methods using Gradients for Neural Model Explanation ICLR 2021 SpreadsheetCoder: Formula Prediction from Semi-structured Context ICML 2021 Generating Programmatic Referring Expressions via Program Synthesis ICML 2020 Global Relational Models of Source Code ICLR 2020 Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration NeurIPS 2020 Time Series Analysis using a Kernel based Multi-Modal Uncertainty Decomposition Framework UAI 2020 Learning Transferable Graph Exploration NeurIPS 2019 Neural Program Repair by Jointly Learning to Localize and Repair ICLR 2019 Synthetic Datasets for Neural Program Synthesis ICLR 2019 VPDS: An AI-Based Automated Vehicle Occupancy and Violation Detection System AAAI 2019 Dynamic Neural Program Embeddings for Program Repair ICLR 2018 Interpreting Neural Network Judgments via Minimal, Stable, and Symbolic Corrections NeurIPS 2018 Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis ICLR 2018 Natural Language to Structured Query Generation via Meta-Learning NAACL 2018 Programmatically Interpretable Reinforcement Learning ICML 2018 Neural Program Meta-Induction NeurIPS 2017 RobustFill: Neural Program Learning under Noisy I/O ICML 2017