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Soroush Abbasi Koohpayegani

14 papers · 2020–2025 · 6 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.

Achievements

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+4 more ↓ πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (19)
🀝 Dynamic Duo (14) ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze πŸ”₯ Unstoppable Β· Bronze

Venues

CVPR (3) ECCV (3) ICCV (3) ICLR (2) WACV (2) NeurIPS (1)

Top co-authors

Hamed Pirsiavash (14) Ajinkya Tejankar (6) Soheil Kolouri (3) Parsa Nooralinejad (3) K L Navaneet (3) Akshayvarun Subramanya (2) Kossar Pourahmadi Meibodi (2) Ali Abbasi (2) Vipin Pillai (2) Aniruddha Saha (2)

Research topics

Machine Learning (10) Application Areas (7) Artificial Intelligence (6) Deep Learning (6) Core AI (6) Learning Types Β· Machine Learning (6) Architectures (3) Core Methods (3) Learning Types Β· Deep Learning (2) Techniques (2) Security & Privacy (1) Models (1) Optimization & Theory (1) Privacy (1)

Keywords

self-supervised learning (5) model compression (4) vision transformer (3) contrastive learning (3) representation learning (3) knowledge distillation (2) attention mechanism (2) image classification (2) efficient computing (2) backdoor attack (2) neural compression (1) visual representation (1) adversarial learning (1) neural network optimization (1) adversarial defense (1) adversarial attack (1) semantic similarity (1) model robustness (1) transfer learning (1) federated learning (1)

Papers

MCNC: Manifold-Constrained Reparameterization for Neural Compression ICLR 2025 A Closer Look at Robustness of Vision Transformers to Backdoor Attacks WACV 2024 CompGS: Smaller and Faster Gaussian Splatting with Vector Quantization ECCV 2024 NOLA: Compressing LoRA using Linear Combination of Random Basis ICLR 2024 SimA: Simple Softmax-Free Attention for Vision Transformers WACV 2024 SlowFormer: Adversarial Attack on Compute and Energy Consumption of Efficient Vision Transformers CVPR 2024 PRANC: Pseudo RAndom Networks for Compacting Deep Models ICCV 2023 Adaptive Token Sampling for Efficient Vision Transformers ECCV 2022 Backdoor Attacks on Self-Supervised Learning CVPR 2022 Consistent Explanations by Contrastive Learning CVPR 2022 Constrained Mean Shift Using Distant Yet Related Neighbors for Representation Learning ECCV 2022 ISD: Self-Supervised Learning by Iterative Similarity Distillation ICCV 2021 Mean Shift for Self-Supervised Learning ICCV 2021 CompRess: Self-Supervised Learning by Compressing Representations NeurIPS 2020