Souvik Kundu
32 papers · 2016–2025 · 11 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 13 separate collaboration groups - the largest holds only 41% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Souvik Kundu?
5 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Massoud Pedram, Peter A. Beerel, Gourav Datta
13 papers
· 2021–2025
· WACV, EMNLP, ICLR
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LAWCAT: Efficient Distillation from Quadratic to Linear Attention with Convolution across Tokens for Long Context Modeling
EMNLP 2025
MambaExtend: A Training-Free Approach to Improve Long Context Extension of Mamba
ICLR 2025
MaskVD: Region Masking for Efficient Video Object Detection
WACV 2025
Mitigating Hallucinations in Vision-Language Models through Image-Guided Head Suppression
EMNLP 2025
AFLoRA: Adaptive Freezing of Low Rank Adaptation in Parameter Efficient Fine-Tuning of Large Models
ACL 2024
LaMDA: Large Model Fine-Tuning via Spectrally Decomposed Low-Dimensional Adaptation
EMNLP 2024
FLOAT: Fast Learnable Once-for-All Adversarial Training for Tunable Trade-Off Between Accuracy and Robustness
WACV 2023
Learning to Linearize Deep Neural Networks for Secure and Efficient Private Inference
ICLR 2023
SAL-ViT: Towards Latency Efficient Private Inference on ViT using Selective Attention Search with a Learnable Softmax Approximation
ICCV 2023
Self-Attentive Pooling for Efficient Deep Learning
WACV 2023
Analyzing the Confidentiality of Undistillable Teachers in Knowledge Distillation
NeurIPS 2021
HIRE-SNN: Harnessing the Inherent Robustness of Energy-Efficient Deep Spiking Neural Networks by Training With Crafted Input Noise
ICCV 2021
Spike-Thrift: Towards Energy-Efficient Deep Spiking Neural Networks by Limiting Spiking Activity via Attention-Guided Compression
WACV 2021
8 papers whose co-authors appear nowhere else under this name
LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding
ICLR 2025
LVLM-Compress-Bench: Benchmarking the Broader Impact of Large Vision-Language Model Compression
NAACL 2025
Scaling Long Context Training Data by Long-Distance Referrals
ICLR 2025
Fusing Models with Complementary Expertise
ICLR 2024
GenQ: Quantization in Low Data Regimes with Generative Synthetic Data
ECCV 2024
ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization
NeurIPS 2024
Exploiting Explicit Paths for Multi-hop Reading Comprehension
ACL 2019
Incorporating a Generative Front-End Layer to Deep Neural Network for Noise Robust Automatic Speech Recognition
Interspeech 2016