Temporal Poselets for Collective Activity Detection and Recognition. - Moin Nabi; Alessio Del Bue; Vittorio Murino (ICCV Workshops, 2013)

Learning with dataset bias in latent subcategory models. - Dimitris Stamos; Samuele Martelli; Moin Nabi; Andrew M. McDonald; Vittorio Murino; Massimiliano Pontil (CVPR, 2015)

Abnormality Detection with Improved Histogram of Oriented Tracklets. - Hossein Mousavi; Moin Nabi; Hamed Kiani Galoogahi; Alessandro Perina; Vittorio Murino (ICIAP (2), 2015)

Crowd motion monitoring using tracklet-based commotion measure. - Hossein Mousavi; Moin Nabi; Hamed Kiani; Alessandro Perina; Vittorio Murino (ICIP, 2015)

Mid-level Representation for Visual Recognition. - Moin Nabi (CoRR, 2015)

Novel dataset for fine-grained abnormal behavior understanding in crowd. - Hamid Reza Rabiee; Javad Haddadnia; Hossein Mousavi; Maziyar Kalantarzadeh; Moin Nabi; Vittorio Murino (AVSS, 2016)

CNN-aware binary MAP for general semantic segmentation. - Mahdyar Ravanbakhsh; Hossein Mousavi; Moin Nabi; Mohammad Rastegari; Carlo S. Regazzoni (ICIP, 2016)

Sparse-coded cross-domain adaptation from the visual to the brain domain. - Pouya Ghaemmaghami; Moin Nabi; Yan Yan 002; Nicu Sebe (ICPR, 2016)

Emotion-Based Crowd Representation for Abnormality Detection. - Hamid Reza Rabiee; Javad Haddadnia; Hossein Mousavi; Moin Nabi; Vittorio Murino; Nicu Sebe (CoRR, 2016)

Efficient Convolutional Neural Network with Binary Quantization Layer. - Mahdyar Ravanbakhsh; Hossein Mousavi; Moin Nabi; Lucio Marcenaro; Carlo S. Regazzoni (CoRR, 2016)

Self-Crowdsourcing Training for Relation Extraction. - Azad Abad; Moin Nabi; Alessandro Moschitti (ACL (2), 2017)

FOIL it! Find One mismatch between Image and Language caption. - Ravi Shekhar; Sandro Pezzelle; Yauhen Klimovich; Aurélie Herbelot; Moin Nabi; Enver Sangineto; Raffaella Bernardi (ACL (1), 2017)

A cross-modal adaptation approach for brain decoding. - Pouya Ghaemmaghami; Moin Nabi; Yan Yan 002; Giuseppe Riccardi; Nicu Sebe (ICASSP, 2017)

Abnormal event detection in videos using generative adversarial nets. - Mahdyar Ravanbakhsh; Moin Nabi; Enver Sangineto; Lucio Marcenaro; Carlo S. Regazzoni; Nicu Sebe (ICIP, 2017)

Vision and Language Integration: Moving beyond Objects. - Ravi Shekhar; Sandro Pezzelle; Aurélie Herbelot; Moin Nabi; Enver Sangineto; Raffaella Bernardi (IWCS(2), 2017)

Autonomous Crowdsourcing through Human-Machine Collaborative Learning. - Azad Abad; Moin Nabi; Alessandro Moschitti (SIGIR, 2017)

Differentially Private Federated Learning: A Client Level Perspective. - Robin C. Geyer; Tassilo Klein; Moin Nabi (CoRR, 2017)

Fast but Not Deep: Efficient Crowd Abnormality Detection with Local Binary Tracklets. - Mahdyar Ravanbakhsh; Hossein Mousavi; Moin Nabi; Lucio Marcenaro; Carlo S. Regazzoni (AVSS, 2018)

Discriminative Hallucination for Multi-Modal Few-Shot Learning. - Frederik Pahde; Moin Nabi; Tassilo Klein; Patrick Jähnichen (ICIP, 2018)

Plug-and-Play CNN for Crowd Motion Analysis: An Application in Abnormal Event Detection. - Mahdyar Ravanbakhsh; Moin Nabi; Hossein Mousavi; Enver Sangineto; Nicu Sebe (WACV, 2018)

Cross-modal Hallucination for Few-shot Fine-grained Recognition. - Frederik Pahde; Patrick Jähnichen; Tassilo Klein; Moin Nabi (CoRR, 2018)

The Wisdom of MaSSeS: Majority, Subjectivity, and Semantic Similarity in the Evaluation of VQA. - Shailza Jolly; Sandro Pezzelle; Tassilo Klein; Andreas Dengel 001; Moin Nabi (CoRR, 2018)

Detection and localization of crowd behavior using a novel tracklet-based model. - Hamid R. Rabiee; Hossein Mousavi; Moin Nabi; Mahdyar Ravanbakhsh (Int. J. Mach. Learn. Cybern., 2018)

Attention Is (not) All You Need for Commonsense Reasoning. - Tassilo Klein; Moin Nabi (ACL (1), 2019)

Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning. - Oleksiy Ostapenko; Mihai Marian Puscas; Tassilo Klein; Patrick Jähnichen; Moin Nabi (CVPR, 2019)

Prune Your Neurons Blindly: Neural Network Compression through Structured Class-blind Pruning. - Abdullah Salama; Oleksiy Ostapenko; Tassilo Klein; Moin Nabi (ICASSP, 2019)

Budget-Aware Adapters for Multi-Domain Learning. - Rodrigo Ferreira Berriel; Stéphane Lathuilière; Moin Nabi; Tassilo Klein; Thiago Oliveira-Santos; Nicu Sebe; Elisa Ricci 001 (ICCV, 2019)

SynthRel0: Towards a Diagnostic Dataset for Relational Representation Learning. - Daniel Dorda; Moin Nabi (ICCV Workshops, 2019)

Weakly Supervised One Shot Segmentation. - Hasnain Raza; Mahdyar Ravanbakhsh; Tassilo Klein; Moin Nabi (ICCV Workshops, 2019)

Self-Paced Adversarial Training for Multimodal Few-Shot Learning. - Frederik Pahde; Oleksiy Ostapenko; Patrick Jähnichen; Tassilo Klein; Moin Nabi (WACV, 2019)

Low-Shot Learning From Imaginary 3D Model. - Frederik Pahde; Mihai Marian Puscas; Jannik Wolff; Tassilo Klein; Nicu Sebe; Moin Nabi (WACV, 2019)

Training Adversarial Discriminators for Cross-Channel Abnormal Event Detection in Crowds. - Mahdyar Ravanbakhsh; Enver Sangineto; Moin Nabi; Nicu Sebe (WACV, 2019)

Learning to Answer by Learning to Ask: Getting the Best of GPT-2 and BERT Worlds. - Tassilo Klein; Moin Nabi (CoRR, 2019)

Pruning at a Glance: Global Neural Pruning for Model Compression. - Abdullah Salama; Oleksiy Ostapenko; Tassilo Klein; Moin Nabi (CoRR, 2019)

Self Paced Deep Learning for Weakly Supervised Object Detection. - Enver Sangineto; Moin Nabi; Dubravko Culibrk; Nicu Sebe (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Contrastive Self-Supervised Learning for Commonsense Reasoning. - Tassilo Klein; Moin Nabi (ACL, 2020)

Online Continual Learning Under Extreme Memory Constraints. - Enrico Fini; Stéphane Lathuilière; Enver Sangineto; Moin Nabi; Elisa Ricci 001 (ECCV (28), 2020)

Human-Machine Collaboration for Medical Image Segmentation. - Mahdyar Ravanbakhsh; Vadim Tschernezki; Felix Last; Tassilo Klein; Kayhan Batmanghelich; Volker Tresp; Moin Nabi (ICASSP, 2020)

Learning Graph-Based Priors for Generalized Zero-Shot Learning. - Colin Samplawski; Jannik Wolff; Tassilo Klein; Moin Nabi (CoRR, 2020)

Towards Zero-shot Commonsense Reasoning with Self-supervised Refinement of Language Models. - Tassilo Klein; Moin Nabi (EMNLP (1), 2021)

Attention-based Contrastive Learning for Winograd Schemas. - Tassilo Klein; Moin Nabi (EMNLP (Findings), 2021)

A Unified Objective for Novel Class Discovery. - Enrico Fini; Enver Sangineto; Stéphane Lathuilière; Zhun Zhong; Moin Nabi; Elisa Ricci 001 (ICCV, 2021)

Multimodal Self-supervised Learning for Medical Image Analysis. - Aiham Taleb; Christoph Lippert; Tassilo Klein; Moin Nabi (IPMI, 2021)

EaSe: A Diagnostic Tool for VQA based on Answer Diversity. - Shailza Jolly; Sandro Pezzelle; Moin Nabi (NAACL-HLT, 2021)

Multimodal Prototypical Networks for Few-shot Learning. - Frederik Pahde; Mihai Marian Puscas; Tassilo Klein; Moin Nabi (WACV, 2021)

SCD: Self-Contrastive Decorrelation of Sentence Embeddings. - Tassilo Klein; Moin Nabi (ACL (2), 2022)

Mixture-of-experts VAEs can disregard variation in surjective multimodal data. - Jannik Wolff; Tassilo Klein; Moin Nabi; Rahul G. Krishnan; Shinichi Nakajima (CoRR, 2022)

solo-learn: A Library of Self-supervised Methods for Visual Representation Learning. - Victor Guilherme Turrisi da Costa; Enrico Fini; Moin Nabi; Nicu Sebe; Elisa Ricci 001 (J. Mach. Learn. Res., 2022)

miCSE: Mutual Information Contrastive Learning for Low-shot Sentence Embeddings. - Tassilo Klein; Moin Nabi (ACL (1), 2023)

Semi-supervised learning made simple with self-supervised clustering. - Enrico Fini; Pietro Astolfi; Karteek Alahari; Xavier Alameda-Pineda; Julien Mairal; Moin Nabi; Elisa Ricci 001 (CVPR, 2023)

A soft nearest-neighbor framework for continual semi-supervised learning. - Zhiqi Kang; Enrico Fini; Moin Nabi; Elisa Ricci 001; Karteek Alahari (ICCV, 2023)

Uncertainty-Aware Contrastive Distillation for Incremental Semantic Segmentation. - Guanglei Yang; Enrico Fini; Dan Xu 002; Paolo Rota; Mingli Ding; Moin Nabi; Xavier Alameda-Pineda; Elisa Ricci 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Duo-LLM: A Framework for Studying Adaptive Computation in Large Language Models. - Keivan Alizadeh-Vahid; Seyed-Iman Mirzadeh; Hooman Shahrkokhi; Dmitry Belenko; Frank Sun; Minsik Cho; Mohammad Hossein Sekhavat; Moin Nabi; Mehrdad Farajtabar (ENLSP, 2024)

Computational Bottlenecks of Training Small-scale Large Language Models. - Saleh Ashkboos; Seyed Iman Mirzadeh; Keivan Alizadeh-Vahid; Mohammad Hossein Sekhavat; Moin Nabi; Mehrdad Farajtabar; Fartash Faghri (ENLSP, 2024)

Scaling Smart: Accelerating Large Language Model Pre-Training with Small Model Initialization. - Mohammad Samragh; Seyed-Iman Mirzadeh; Keivan Alizadeh-Vahid; Fartash Faghri; Minsik Cho; Moin Nabi; Devang Naik; Mehrdad Farajtabar (ENLSP, 2024)

Scaling Smart: Accelerating Large Language Model Pre-training with Small Model Initialization. - Mohammad Samragh; Iman Mirzadeh; Keivan Alizadeh-Vahid; Fartash Faghri; Minsik Cho; Moin Nabi; Devang Naik; Mehrdad Farajtabar (CoRR, 2024)

Visual Scratchpads: Enabling Global Reasoning in Vision. - Aryo Lotfi; Enrico Fini; Samy Bengio; Moin Nabi; Emmanuel Abbe (CoRR, 2024)

KV Prediction for Improved Time to First Token. - Maxwell Horton; Qingqing Cao; Chenfan Sun; Yanzi Jin; Sachin Mehta; Mohammad Rastegari; Moin Nabi (CoRR, 2024)

Duo-LLM: A Framework for Studying Adaptive Computation in Large Language Models. - Keivan Alizadeh; Iman Mirzadeh; Hooman Shahrokhi; Dmitry Belenko; Frank Sun; Minsik Cho; Mohammad Hossein Sekhavat; Moin Nabi; Mehrdad Farajtabar (CoRR, 2024)

Computational Bottlenecks of Training Small-scale Large Language Models. - Saleh Ashkboos; Iman Mirzadeh; Keivan Alizadeh; Mohammad Hossein Sekhavat; Moin Nabi; Mehrdad Farajtabar; Fartash Faghri (CoRR, 2024)

SALSA: Soup-based Alignment Learning for Stronger Adaptation in RLHF. - Atoosa Malemir Chegini; Hamid Kazemi; Iman Mirzadeh; Dong Yin; Maxwell Horton; Moin Nabi; Mehrdad Farajtabar; Keivan Alizadeh (CoRR, 2024)

Contrastive Perplexity for Controlled Generation: An Application in Detoxifying Large Language Models. - Tassilo Klein; Moin Nabi (ACL (1), 2025)

Multimodal Autoregressive Pre-training of Large Vision Encoders. - Enrico Fini; Mustafa Shukor; Xiujun Li; Philipp Dufter; Michal Klein; David Haldimann; Sai Aitharaju; Victor G. Turrisi da Costa; Louis Béthune; Zhe Gan; Alexander Toshev; Marcin Eichner; et al. (CVPR, 2025)

From Dense to Dynamic: Token-Difficulty Driven MoEfication of Pre-Trained LLMs. - Kumari Nishu; Sachin Mehta; Samira Abnar; Mehrdad Farajtabar; Maxwell Horton; Mahyar Najibi; Moin Nabi; Minsik Cho; Devang Naik (CoRR, 2025)

Learning Private Representations through Entropy-based Adversarial Training. - Tassilo Klein; Moin Nabi (CoRR, 2025)