Puneet Dokania
10 papers · 2016–2024 · 5 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+3 more ↓ Show less ↑
π£ Hot Topic Early Bird π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (5) π Academic Marathon (8)
π
Cross-Pollinator
(11)
πΊοΈ
Taxonomy Completionist
(24)
π
Century Club
(10)
Conferences
NIPS (5)
ECCV (2)
AAAI (1)
AISTATS (1)
ICML (1)
Top co-authors
Keywords
catastrophic forgetting
(2)
experience replay
(2)
continual learning
(2)
data augmentation
(2)
gradient descent
(1)
mirror descent
(1)
adversarial training
(1)
covariate shift
(1)
structured prediction
(1)
episodic memory
(1)
continuous optimization
(1)
oracle complexity
(1)
out-of-distribution detection
(1)
bilevel optimization
(1)
deep neural network
(1)
constrained optimization
(1)
stochastic gradient langevin dynamics
(1)
uncertainty estimation
(1)
straight-through estimator
(1)
model compression
(1)
Papers
"On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines"
ECCV 2024
Placing Objects in Context via Inpainting for Out-of-distribution Segmentation
ECCV 2024
Make Some Noise: Reliable and Efficient Single-Step Adversarial Training
NIPS 2022
Using Mixup as a Regularizer Can Surprisingly Improve Accuracy & Out-of-Distribution Robustness
NIPS 2022
Mirror Descent View for Neural Network Quantization
AISTATS 2021
Using Hindsight to Anchor Past Knowledge in Continual Learning
AAAI 2021
A Continuous Mapping For Augmentation Design
NIPS 2021
Continual Learning in Low-rank Orthogonal Subspaces
NIPS 2020
Calibrating Deep Neural Networks using Focal Loss
NIPS 2020
Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs
ICML 2016