Ashish Kapoor

32 papers · 2009–2024 · 11 conferences · across top CS/AI conferences

Achievements

+13 more ↓

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (11) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🏃 Academic Marathon (15)

🗺️ Taxonomy Completionist (64) 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🌱 Topic Pioneer 🧬 Topic Evolution 🏆 Keyword Champion 🗃️ Keyword Collector (155) ⚡ Prolific Year (5) 🚀 Conference Pioneer 📈 Trend Setter 💎 Century Club (32) 🔥 Unstoppable (13) ❓ The Questioner (2)

Conferences

NIPS (12) ICML (4) ICCV (3) WACV (3) ICLR (2) IJCAI (2) RSS (2) CLEAR (1) CVPR (1) ECCV (1) NSDI (1)

Top co-authors

Sai Vemprala (7) Hadi Salman (5) Debadeepta Dey (5) Neel Joshi (4) Shuang Ma (4) Rogerio Bonatti (3) Ratnesh Madaan (3) Logan Engstrom (3) Shital Shah (3) Andrew Ilyas (3)

Keywords

active learning (4) zero-shot learning (2) object detection (2) quantum algorithm (2) unmanned aerial vehicle (2) sequential decision making (2) probabilistic model (2) self-supervised learning (2) image classification (2) adversarial robustness (2) generative adversarial network (2) autonomous vehicle (2) imitation learning (2) bayesian inference (2) synthetic datum (2) transfer learning (2) variational inference (1) reinforcement learning (1) few-shot learning (1) off-policy evaluation (1)

Papers

EvDNeRF: Reconstructing Event Data With Dynamic Neural Radiance Fields WACV 2024 ClimaX: A foundation model for weather and climate ICML 2023 SMART: Self-supervised Multi-task pretrAining with contRol Transformers ICLR 2023 Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training ICCV 2023 3DB: A Framework for Debugging Computer Vision Models NIPS 2022 Learning Modular Simulations for Homogeneous Systems NIPS 2022 CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning CLEAR 2022 Quantum algorithms for reinforcement learning with a generative model ICML 2021 Representation Learning for Event-based Visuomotor Policies NIPS 2021 Unadversarial Examples: Designing Objects for Robust Vision NIPS 2021 Do Adversarially Robust ImageNet Models Transfer Better? NIPS 2020 BIRDSAI: A Dataset for Detection and Tracking in Aerial Thermal Infrared Videos WACV 2020 Synthetic Examples Improve Generalization for Rare Classes WACV 2020 Multi-Robot Collision Avoidance under Uncertainty with Probabilistic Safety Barrier Certificates NIPS 2020 Denoised Smoothing: A Provable Defense for Pretrained Classifiers NIPS 2020 Visceral Machines: Risk-Aversion in Reinforcement Learning with Intrinsic Physiological Rewards ICLR 2019 Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting NIPS 2019 Characterizing Bias in Classifiers using Generative Models NIPS 2019 Near Real-Time Detection of Poachers from Drones in AirSim IJCAI 2018 Learn-to-Score: Efficient 3D Scene Exploration by Predicting View Utility ECCV 2018 Submodular Trajectory Optimization for Aerial 3D Scanning ICCV 2017 Safety-Aware Algorithms for Adversarial Contextual Bandit ICML 2017 FarmBeats: An IoT Platform for Data-Driven Agriculture NSDI 2017 Adaptive Information Gathering via Imitation Learning RSS 2017 Quantum Perceptron Models NIPS 2016 Safe Control under Uncertainty with Probabilistic Signal Temporal Logic RSS 2016 On Greedy Maximization of Entropy ICML 2015 Blind Image Quality Assessment using Semi-supervised Rectifier Networks CVPR 2014 Active Visual Recognition with Expertise Estimation in Crowdsourcing ICCV 2013 Lifelong Learning for Acquiring the Wisdom of the Crowd IJCAI 2013 Multilabel Classification using Bayesian Compressed Sensing NIPS 2012 Breaking Boundaries Between Induction Time and Diagnosis Time Active Information Acquisition NIPS 2009