Anil Kag
18 papers · 2019–2025 · 7 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (6) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🐝 Cross-Pollinator (7)
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Academic Marathon
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(7)
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Prolific Year
(5)
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Century Club
(18)
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(2)
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Keyword Collector
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Conferences
CVPR (6)
ICLR (4)
NIPS (4)
AISTATS (1)
ICCV (1)
ICML (1)
NSDI (1)
Top co-authors
Research topics
Keywords
diffusion model
(6)
text-to-image generation
(3)
model compression
(3)
video generation
(3)
image generation
(3)
transformer architecture
(2)
knowledge distillation
(2)
selective classification
(2)
convolutional neural network
(2)
efficient computing
(2)
recurrent neural network
(2)
model architecture
(1)
direct preference optimization
(1)
adversarial training
(1)
online learning
(1)
video synthesis
(1)
adversarial setting
(1)
feature learning
(1)
parameter optimization
(1)
neural architecture
(1)
Papers
Lightweight Predictive 3D Gaussian Splats
ICLR 2025
SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device
CVPR 2025
SnapGen: Taming High-Resolution Text-to-Image Models for Mobile Devices with Efficient Architectures and Training
CVPR 2025
Scalable Ranked Preference Optimization for Text-to-Image Generation
ICCV 2025
SF-V: Single Forward Video Generation Model
NIPS 2024
BitsFusion: 1.99 bits Weight Quantization of Diffusion Model
NIPS 2024
TextCraftor: Your Text Encoder Can be Image Quality Controller
CVPR 2024
Snap Video: Scaled Spatiotemporal Transformers for Text-to-Video Synthesis
CVPR 2024
AsCAN: Asymmetric Convolution-Attention Networks for Efficient Recognition and Generation
NIPS 2024
Scaffolding a Student to Instill Knowledge
ICLR 2023
Efficient Edge Inference by Selective Query
ICLR 2023
Condensing CNNs With Partial Differential Equations
CVPR 2022
Online Selective Classification with Limited Feedback
NIPS 2021
Selective Classification via One-Sided Prediction
AISTATS 2021
Time Adaptive Recurrent Neural Network
CVPR 2021
Training Recurrent Neural Networks via Forward Propagation Through Time
ICML 2021
RNNs Incrementally Evolving on an Equilibrium Manifold: A Panacea for Vanishing and Exploding Gradients?
ICLR 2020
BLAS-on-flash: An Efficient Alternative for Large Scale ML Training and Inference?
NSDI 2019