Abhishek Sinha
13 papers · 2019–2026 · 9 conferences · across top CS/AI conferences
Achievements
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🧭 Keyword Pioneer 🐝 Cross-Pollinator (9) 🌍 Conference Polyglot (8) 🏃 Academic Marathon (5) 🌈 Renaissance Researcher (6)
🧭
Keyword Pioneer
🐝
Cross-Pollinator
(9)
🌈
Renaissance Researcher
(6)
🔥
Unstoppable
(6)
💎
Century Club
(12)
🚀
Conference Pioneer
Conferences
NIPS (4)
ICLR (2)
AAAI (1)
AISTATS (1)
ALT (1)
ECCV (1)
IJCAI (1)
UAI (1)
WACV (1)
Top co-authors
Research topics
Keywords
few-shot learning
(2)
adversarial constraint
(2)
constraint violation
(2)
online convex optimization
(2)
adversarial attack
(2)
regret bound
(2)
transfer learning
(1)
online learning
(1)
contrastive learning
(1)
constrained optimization
(1)
dynamic regret
(1)
online optimization
(1)
adversarial training
(1)
online prediction
(1)
model security
(1)
multi-armed bandit
(1)
conditional generation
(1)
expert advice
(1)
diffusion model
(1)
self-supervised learning
(1)
Papers
Universal Dynamic Regret and Constraint Violation Bounds for Constrained Online Convex Optimization
ALT 2026
BanditQ:Fair Bandits with Guaranteed Rewards
UAI 2024
Optimal Algorithms for Online Convex Optimization with Adversarial Constraints
NIPS 2024
Confidence Is All You Need for MI Attacks (Student Abstract)
AAAI 2024
No-regret Algorithms for Fair Resource Allocation
NIPS 2023
Comparing Distributions by Measuring Differences that Affect Decision Making
ICLR 2022
k-experts - Online Policies and Fundamental Limits
AISTATS 2022
$\texttt{LeadCache}$: Regret-Optimal Caching in Networks
NIPS 2021
D2C: Diffusion-Decoding Models for Few-Shot Conditional Generation
NIPS 2021
Negative Data Augmentation
ICLR 2021
Charting the Right Manifold: Manifold Mixup for Few-shot Learning
WACV 2020
Attributional Robustness Training using Input-Gradient Spatial Alignment
ECCV 2020
Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models
IJCAI 2019