← Authors

Souvik Kundu

32 papers · 2016–2025 · 11 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (11) πŸƒ Academic Marathon (9) 🐝 Cross-Pollinator (9) 🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (46) πŸŒ‰ Interdisciplinary Bridge 🧬 Topic Evolution πŸ‘‘ Triple Crown ⚑ Prolific Year (7) πŸš€ Conference Pioneer πŸ’Ž Century Club (32) πŸ—ƒοΈ Keyword Collector (114)

Conferences

ICLR (5) ACL (4) EMNLP (4) ICCV (4) WACV (4) ICML (3) NIPS (3) ECCV (2) COLING (1) INTERSPEECH (1) NAACL (1)

Top co-authors

Massoud Pedram (6) Peter A. Beerel (6) Gourav Datta (4) Peter Anthony Beerel (3) Hwee Tou Ng (3) Zhangyang Wang (3) Qian Lin (2) Yuke Zhang (2) Peter Beerel (2) Akshat Ramachandran (2)

Keywords

model compression (8) neural network pruning (3) adversarial robustness (2) spiking neural network (2) vision transformer (2) reading comprehension (2) conversation history (2) parameter-efficient fine-tuning (2) low-rank adaptation (2) attention mechanism (2) inference optimization (2) knowledge distillation (2) answer extraction (1) question answering (1) model robustness (1) contrastive learning (1) energy efficiency (1) efficient computing (1) accuracy robustness trade-off (1) object detection (1)

Papers

OuroMamba: A Data-Free Quantization Framework for Vision Mamba ICCV 2025
MaskVD: Region Masking for Efficient Video Object Detection WACV 2025
LVLM-Compress-Bench: Benchmarking the Broader Impact of Large Vision-Language Model Compression NAACL 2025
LAMB: A Training-Free Method to Enhance the Long-Context Understanding of SSMs via Attention-Guided Token Filtering ACL 2025
On-the-Fly Adaptive Distillation of Transformer to Dual-State Linear Attention for Long-Context LLM Serving ICML 2025
Mitigating Hallucinations in Vision-Language Models through Image-Guided Head Suppression EMNLP 2025
LAWCAT: Efficient Distillation from Quadratic to Linear Attention with Convolution across Tokens for Long Context Modeling EMNLP 2025
Scaling Long Context Training Data by Long-Distance Referrals ICLR 2025
MambaExtend: A Training-Free Approach to Improve Long Context Extension of Mamba ICLR 2025
LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding ICLR 2025
Fusing Models with Complementary Expertise ICLR 2024
CLAMP-ViT: Contrastive Data-Free Learning for Adaptive Post-Training Quantization of ViTs ECCV 2024
Junk DNA Hypothesis: Pruning Small Pre-Trained Weights $\textitIrreversibly$ and $\textitMonotonically$ Impairs β€œDifficult" Downstream Tasks in LLMs ICML 2024
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
ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization NIPS 2024
GenQ: Quantization in Low Data Regimes with Generative Synthetic Data ECCV 2024
Vision HGNN: An Image is More than a Graph of Nodes ICCV 2023
Don’t just prune by magnitude! Your mask topology is a secret weapon NIPS 2023
SAL-ViT: Towards Latency Efficient Private Inference on ViT using Selective Attention Search with a Learnable Softmax Approximation ICCV 2023
Learning to Linearize Deep Neural Networks for Secure and Efficient Private Inference ICLR 2023
NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations ICML 2023
Self-Attentive Pooling for Efficient Deep Learning WACV 2023
FLOAT: Fast Learnable Once-for-All Adversarial Training for Tunable Trade-Off Between Accuracy and Robustness WACV 2023
Analyzing the Confidentiality of Undistillable Teachers in Knowledge Distillation NIPS 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
A Co-Attentive Cross-Lingual Neural Model for Dialogue Breakdown Detection COLING 2020
Learning to Identify Follow-Up Questions in Conversational Question Answering ACL 2020
Exploiting Explicit Paths for Multi-hop Reading Comprehension ACL 2019
A Nil-Aware Answer Extraction Framework for Question Answering EMNLP 2018
Incorporating a Generative Front-End Layer to Deep Neural Network for Noise Robust Automatic Speech Recognition INTERSPEECH 2016