Subrata Mitra
11 papers · 2021–2026 · 7 venues · across top CS/AI venues
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Artificial Intelligence
(8)
Machine Learning
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(5)
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Natural Language Processing
(3)
Learning Paradigms Β· Artificial Intelligence
(3)
Optimization & Theory
(3)
Deep Learning
(2)
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Computer Science
(1)
Knowledge & Reasoning
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Keywords
federated learning
(3)
approximate query processing
(2)
deep reinforcement learning
(2)
knowledge distillation
(2)
named entity recognition
(2)
text classification
(1)
distributed learning
(1)
domain adaptation
(1)
sampling strategy
(1)
few-shot learning
(1)
causal discovery
(1)
resource allocation
(1)
class-incremental learning
(1)
text-to-image generation
(1)
instruction following
(1)
hierarchical learning
(1)
communication efficiency
(1)
model inference
(1)
approximation error
(1)
catastrophic forgetting
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Papers
CachePrune: Teaching LLMs What Not to Follow via KV-Cache Editing
ACL 2026
Approximate Caching for Efficiently Serving Text-to-Image Diffusion Models
NSDI 2024
Personalized Federated Learning for Text Classification with Gradient-Free Prompt Tuning
NAACL 2024
ReCON: Training-Free Acceleration for Text-to-Image Synthesis with Retrieval of Concept Prompt Trajectories
ECCV 2024
Federated Domain Adaptation for Named Entity Recognition via Distilling with Heterogeneous Tag Sets
ACL 2023
Flash: Concept Drift Adaptation in Federated Learning
ICML 2023
Reinforced Approximate Exploratory Data Analysis
AAAI 2023
Conditional Generative Model Based Predicate-Aware Query Approximation
AAAI 2022
Few-Shot Class-Incremental Learning for Named Entity Recognition
ACL 2022
Root Cause Analysis of Failures in Microservices through Causal Discovery
NeurIPS 2022
Scheduling of Time-Varying Workloads Using Reinforcement Learning
AAAI 2021