Ashish Kapoor
32 papers · 2009–2024 · 11 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 10 separate collaboration groups - the largest holds only 38% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Ashish Kapoor?
4 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Sai Vemprala, Hadi Salman, Shuang Ma
12 papers
· 2019–2024
· NeurIPS, ICLR, WACV
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EvDNeRF: Reconstructing Event Data With Dynamic Neural Radiance Fields
WACV 2024
Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training
ICCV 2023
SMART: Self-supervised Multi-task pretrAining with contRol Transformers
ICLR 2023
3DB: A Framework for Debugging Computer Vision Models
NeurIPS 2022
CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning
CLeaR 2022
Learning Modular Simulations for Homogeneous Systems
NeurIPS 2022
Representation Learning for Event-based Visuomotor Policies
NeurIPS 2021
Unadversarial Examples: Designing Objects for Robust Vision
NeurIPS 2021
Denoised Smoothing: A Provable Defense for Pretrained Classifiers
NeurIPS 2020
Do Adversarially Robust ImageNet Models Transfer Better?
NeurIPS 2020
Characterizing Bias in Classifiers using Generative Models
NeurIPS 2019
Visceral Machines: Risk-Aversion in Reinforcement Learning with Intrinsic Physiological Rewards
ICLR 2019
6 papers whose co-authors appear nowhere else under this name
Quantum algorithms for reinforcement learning with a generative model
ICML 2021
Quantum Perceptron Models
NeurIPS 2016
Safe Control under Uncertainty with Probabilistic Signal Temporal Logic
RSS 2016
On Greedy Maximization of Entropy
ICML 2015
Active Visual Recognition with Expertise Estimation in Crowdsourcing
ICCV 2013
Multilabel Classification using Bayesian Compressed Sensing
NeurIPS 2012