Vikas Chandra
36 papers · 2021–2026 · 12 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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Machine Learning
(25)
Deep Learning
(22)
Artificial Intelligence
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Core AI
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Learning Types Β· Deep Learning
(12)
Computer Vision
(11)
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Keywords
model compression
(6)
neural architecture search
(6)
knowledge distillation
(5)
vision transformer
(4)
large language model
(3)
image classification
(3)
supernet training
(3)
weight sharing
(3)
architecture optimization
(2)
on-device inference
(2)
multimodal large language model
(2)
semantic segmentation
(2)
zero-shot transfer
(2)
video question answering
(2)
automatic speech recognition
(2)
text-to-3d generation
(2)
segment anything model
(2)
object detection
(2)
adversarial robustness
(1)
post-training quantization
(1)
Papers
EgoAVU: Egocentric Audio-Visual Understanding
CVPR 2026
MobileLLM-Flash: Latency-Guided On-Device LLM Design for Industry Scale Deployment
ACL 2026
VideoAuto-R1: Video Auto Reasoning via Thinking Once, Answering Twice
CVPR 2026
Agent-as-a-Judge: Evaluate Agents with Agents
ICML 2025
AutoMixer: Checkpoint Artifacts as Automatic Data Mixers
ACL 2025
Breaking Down Power Barriers in On-Device Streaming ASR: Insights and Solutions
NAACL 2025
EdgeTAM: On-Device Track Anything Model
CVPR 2025
Efficient Track Anything
ICCV 2025
LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding
ICML 2025
Self-Vocabularizing Training for Neural Machine Translation
NAACL 2025
SpinQuant: LLM Quantization with Learned Rotations
ICLR 2025
SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity
AISTATS 2025
CoherentGS: Sparse Novel View Synthesis with Coherent 3D Gaussians
ECCV 2024
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything
CVPR 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
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases
ICML 2024
MVDiffHD: A Dense High-resolution Multi-view Diffusion Model for Single or Sparse-view 3D Object Reconstruction
ECCV 2024
Scaling Parameter-Constrained Language Models with Quality Data
EMNLP 2024
Taming Mode Collapse in Score Distillation for Text-to-3D Generation
CVPR 2024
Target-Aware Language Modeling via Granular Data Sampling
EMNLP 2024
Fast Point Cloud Generation With Straight Flows
CVPR 2023
Revisiting Sample Size Determination in Natural Language Understanding
ACL 2023
Towards Zero-Shot Multilingual Transfer for Code-Switched Responses
ACL 2023
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks
ICML 2022
Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation
CVPR 2022
NASViT: Neural Architecture Search for Efficient Vision Transformers with Gradient Conflict aware Supernet Training
ICLR 2022
ScaleNAS: Multi-Path One-Shot NAS for Scale-Aware High-Resolution Representation
AutoML 2022
Streaming parallel transducer beam search with fast slow cascaded encoders
Interspeech 2022
AlphaNet: Improved Training of Supernets with Alpha-Divergence
ICML 2021
AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling
CVPR 2021
Collaborative Training of Acoustic Encoders for Speech Recognition
Interspeech 2021
CPT: Efficient Deep Neural Network Training via Cyclic Precision
ICLR 2021
Double-Win Quant: Aggressively Winning Robustness of Quantized Deep Neural Networks via Random Precision Training and Inference
ICML 2021
KeepAugment: A Simple Information-Preserving Data Augmentation Approach
CVPR 2021
NASGEM: Neural Architecture Search via Graph Embedding Method
AAAI 2021