Puneet K. Dokania
21 papers · 2015–2025 · 8 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+11 more ↓ Show less ↑
π§ Keyword Pioneer π Conference Polyglot (8) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (10) π Academic Marathon (10)
π
Academic Marathon
(10)
π
Cross-Pollinator
(12)
π
Renaissance Researcher
(6)
π
Grand Slam
β‘
Prolific Year
(5)
π
Conference Pioneer
π
Trend Setter
β
The Questioner
(3)
ποΈ
Keyword Collector
(84)
π
Century Club
(21)
π₯
Unstoppable
(8)
Conferences
CVPR (4)
ICLR (4)
ECCV (3)
ICCV (3)
AAAI (2)
ICML (2)
NIPS (2)
JMLR (1)
Top co-authors
Keywords
continual learning
(2)
generative adversarial network
(2)
energy minimization
(2)
object detection
(2)
graph cut
(2)
catastrophic forgetting
(1)
direct preference optimization
(1)
model compression
(1)
uncertainty quantification
(1)
online learning
(1)
representation learning
(1)
image generation
(1)
attention mechanism
(1)
knowledge distillation
(1)
question answering
(1)
preference alignment
(1)
dialogue generation
(1)
preference optimization
(1)
autonomous driving
(1)
adversarial learning
(1)
Papers
Mixture of Experts Made Intrinsically Interpretable
ICML 2025
What Makes and Breaks Safety Fine-tuning? A Mechanistic Study
NIPS 2024
RanDumb: Random Representations Outperform Online Continually Learned Representations
NIPS 2024
Sample-Dependent Adaptive Temperature Scaling for Improved Calibration
AAAI 2023
Query-Based Hard-Image Retrieval for Object Detection at Test Time
AAAI 2023
Graph Inductive Biases in Transformers without Message Passing
ICML 2023
Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration
CVPR 2023
Computationally Budgeted Continual Learning: What Does Matter?
CVPR 2023
An Impartial Take to the CNN vs Transformer Robustness Contest
ECCV 2022
No Cost Likelihood Manipulation at Test Time for Making Better Mistakes in Deep Networks
ICLR 2021
How Benign is Benign Overfitting ?
ICLR 2021
Progressive Skeletonization: Trimming more fat from a network at initialization
ICLR 2021
GDumb: A Simple Approach that Questions Our Progress in Continual Learning
ECCV 2020
Stable Rank Normalization for Improved Generalization in Neural Networks and GANs
ICLR 2020
Proximal Mean-Field for Neural Network Quantization
ICCV 2019
Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation
ICCV 2019
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence
ECCV 2018
Multi-Agent Diverse Generative Adversarial Networks
CVPR 2018
FlipDial: A Generative Model for Two-Way Visual Dialogue
CVPR 2018
Rounding-based Moves for Semi-Metric Labeling
JMLR 2016
Parsimonious Labeling
ICCV 2015