CompRess: Self-Supervised Learning by Compressing Representations. - Soroush Abbasi Koohpayegani; Ajinkya Tejankar; Hamed Pirsiavash (NeurIPS, 2020)

Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation. - K. L. Navaneet; Soroush Abbasi Koohpayegani; Ajinkya Tejankar; Hamed Pirsiavash (BMVC, 2021)

Mean Shift for Self-Supervised Learning. - Soroush Abbasi Koohpayegani; Ajinkya Tejankar; Hamed Pirsiavash (ICCV, 2021)

ISD: Self-Supervised Learning by Iterative Similarity Distillation. - Ajinkya Tejankar; Soroush Abbasi Koohpayegani; Vipin Pillai; Paolo Favaro; Hamed Pirsiavash (ICCV, 2021)

Constrained Mean Shift for Representation Learning. - Ajinkya Tejankar; Soroush Abbasi Koohpayegani; Hamed Pirsiavash (CoRR, 2021)

ATS: Adaptive Token Sampling For Efficient Vision Transformers. - Mohsen Fayyaz; Soroush Abbasi Koohpayegani; Farnoush Rezaei Jafari; Eric Sommerlade; Hamid Reza Vaezi Joze; Hamed Pirsiavash; Juergen Gall (CoRR, 2021)

Consistent Explanations by Contrastive Learning. - Vipin Pillai; Soroush Abbasi Koohpayegani; Ashley Ouligian; Dennis Fong; Hamed Pirsiavash (CVPR, 2022)

Backdoor Attacks on Self-Supervised Learning. - Aniruddha Saha; Ajinkya Tejankar; Soroush Abbasi Koohpayegani; Hamed Pirsiavash (CVPR, 2022)

Adaptive Token Sampling for Efficient Vision Transformers. - Mohsen Fayyaz; Soroush Abbasi Koohpayegani; Farnoush Rezaei Jafari; Sunando Sengupta; Hamid Reza Vaezi Joze; Eric Sommerlade; Hamed Pirsiavash; Jürgen Gall (ECCV (11), 2022)

Constrained Mean Shift Using Distant yet Related Neighbors for Representation Learning. - K. L. Navaneet; Soroush Abbasi Koohpayegani; Ajinkya Tejankar; Kossar Pourahmadi; Akshayvarun Subramanya; Hamed Pirsiavash (ECCV (31), 2022)

SimReg: Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation. - K. L. Navaneet; Soroush Abbasi Koohpayegani; Ajinkya Tejankar; Hamed Pirsiavash (CoRR, 2022)

Backdoor Attacks on Vision Transformers. - Akshayvarun Subramanya; Aniruddha Saha; Soroush Abbasi Koohpayegani; Ajinkya Tejankar; Hamed Pirsiavash (CoRR, 2022)

PRANC: Pseudo RAndom Networks for Compacting deep models. - Parsa Nooralinejad; Ali Abbasi 008; Soroush Abbasi Koohpayegani; Kossar Pourahmadi Meibodi; Rana Muhammad Shahroz Khan; Soheil Kolouri; Hamed Pirsiavash (ICCV, 2023)

SlowFormer: Universal Adversarial Patch for Attack on Compute and Energy Efficiency of Inference Efficient Vision Transformers. - K. L. Navaneet; Soroush Abbasi Koohpayegani; Essam Sleiman; Hamed Pirsiavash (CoRR, 2023)

NOLA: Networks as Linear Combination of Low Rank Random Basis. - Soroush Abbasi Koohpayegani; K. L. Navaneet; Parsa Nooralinejad; Soheil Kolouri; Hamed Pirsiavash (CoRR, 2023)

Compact3D: Compressing Gaussian Splat Radiance Field Models with Vector Quantization. - K. L. Navaneet; Kossar Pourahmadi Meibodi; Soroush Abbasi Koohpayegani; Hamed Pirsiavash (CoRR, 2023)

Multi-Agent Lifelong Implicit Neural Learning. - Soheil Kolouri; Ali Abbasi 008; Soroush Abbasi Koohpayegani; Parsa Nooralinejad; Hamed Pirsiavash (IEEE Signal Process. Lett., 2023)

SlowFormer: Adversarial Attack on Compute and Energy Consumption of Efficient Vision Transformers. - K. L. Navaneet; Soroush Abbasi Koohpayegani; Essam Sleiman; Hamed Pirsiavash (CVPR, 2024)

CompGS: Smaller and Faster Gaussian Splatting with Vector Quantization. - K. L. Navaneet; Kossar Pourahmadi Meibodi; Soroush Abbasi Koohpayegani; Hamed Pirsiavash (ECCV (32), 2024)

NOLA: Compressing LoRA using Linear Combination of Random Basis. - Soroush Abbasi Koohpayegani; Navaneet K. L.; Parsa Nooralinejad; Soheil Kolouri; Hamed Pirsiavash (ICLR, 2024)

SimA: Simple Softmax-free Attention for Vision Transformers. - Soroush Abbasi Koohpayegani; Hamed Pirsiavash (WACV, 2024)

A Closer Look at Robustness of Vision Transformers to Backdoor Attacks. - Akshayvarun Subramanya; Soroush Abbasi Koohpayegani; Aniruddha Saha; Ajinkya Tejankar; Hamed Pirsiavash (WACV, 2024)

MCNC: Manifold Constrained Network Compression. - Chayne Thrash; Ali Abbasi 008; Parsa Nooralinejad; Soroush Abbasi Koohpayegani; Reed Andreas; Hamed Pirsiavash; Soheil Kolouri (CoRR, 2024)

MCNC: Manifold-Constrained Reparameterization for Neural Compression. - Chayne Thrash; Reed Andreas; Ali Abbasi 008; Parsa Nooralinejad; Soroush Abbasi Koohpayegani; Hamed Pirsiavash; Soheil Kolouri (ICLR, 2025)

GeNIe: Generative Hard Negative Images Through Diffusion. - Soroush Abbasi Koohpayegani; Anuj Singh; Navaneet K. L.; Hamed Pirsiavash; Hadi Jamali Rad (Trans. Mach. Learn. Res., 2025)