Raghuraman Krishnamoorthi
17 papers · 2022–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Cross-Pollinator (10) π Renaissance Researcher (5) πΊοΈ Taxonomy Completionist (26) π Interdisciplinary Bridge
π§
Keyword Pioneer
π
Conference Polyglot
(7)
π€
Dynamic Duo
(11)
β‘
Prolific Year
(6)
π
Century Club
(16)
Conferences
ICML (5)
ACL (4)
CVPR (3)
NIPS (2)
ICCV (1)
ICLR (1)
NSDI (1)
Top co-authors
Keywords
model compression
(5)
knowledge distillation
(3)
model quantization
(2)
weight quantization
(2)
segment anything model
(2)
vision transformer
(2)
machine translation
(2)
large language model
(2)
activation quantization
(2)
flow matching
(1)
data-free distillation
(1)
neural architecture search
(1)
video segmentation
(1)
distributed training
(1)
text generation
(1)
mixture of expert
(1)
image segmentation
(1)
model training
(1)
diffusion model
(1)
weight sharing
(1)
Papers
MobileLLM-Flash: Latency-Guided On-Device LLM Design for Industry Scale Deployment
ACL 2026
Efficient Track Anything
ICCV 2025
EdgeTAM: On-Device Track Anything Model
CVPR 2025
SpinQuant: LLM Quantization with Learned Rotations
ICLR 2025
LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding
ICML 2025
Agent-as-a-Judge: Evaluate Agents with Agents
ICML 2025
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything
CVPR 2024
Communication Efficient Distributed Training with Distributed Lion
NIPS 2024
Sparse Cocktail: Every Sparse Pattern Every Sparse Ratio All At Once
ICML 2024
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases
ICML 2024
LLM-QAT: Data-Free Quantization Aware Training for Large Language Models
ACL 2024
Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts
ACL 2024
Fast Point Cloud Generation With Straight Flows
CVPR 2023
Binary and Ternary Natural Language Generation
ACL 2023
Check-N-Run: a Checkpointing System for Training Deep Learning Recommendation Models
NSDI 2022
BiT: Robustly Binarized Multi-distilled Transformer
NIPS 2022
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks
ICML 2022