Moin Nabi - RankMe

93 papers A* 9A 5B 7Misc 3Journal 50Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	The Potential of CoT for Reasoning: A Closer Look at Trace Dynamics. CoRR Gregor Bachmann, Yichen Jiang, Seyed-Mohsen Moosavi-Dezfooli, Moin Nabi
2026	J	`jnl`	Thinking into the Future: Latent Lookahead Training for Transformers. CoRR Lorenzo Noci, Gregor Bachmann, Seyed-Mohsen Moosavi-Dezfooli, Moin Nabi
2025	—	`conf`	Contrastive Perplexity for Controlled Generation: An Application in Detoxifying Large Language Models. ACL (1) Tassilo Klein, Moin Nabi
2025	J	`jnl`	From Dense to Dynamic: Token-Difficulty Driven MoEfication of Pre-Trained LLMs. CoRR Kumari Nishu, Sachin Mehta, Samira Abnar, Mehrdad Farajtabar, Maxwell Horton, Mahyar Najibi, Moin Nabi, Minsik Cho, Devang Naik
2025	J	`jnl`	Learning Private Representations through Entropy-based Adversarial Training. CoRR Tassilo Klein, Moin Nabi
2025	A*	`conf`	Multimodal Autoregressive Pre-training of Large Vision Encoders. CVPR 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, Moin Nabi, Yinfei Yang, Joshua M. Susskind, Alaaeldin El-Nouby
2024	—	`conf`	Computational Bottlenecks of Training Small-scale Large Language Models. ENLSP Saleh Ashkboos, Seyed-Iman Mirzadeh, Keivan Alizadeh-Vahid, Mohammad Hossein Sekhavat, Moin Nabi, Mehrdad Farajtabar, Fartash Faghri
2024	J	`jnl`	Computational Bottlenecks of Training Small-scale Large Language Models. CoRR Saleh Ashkboos, Iman Mirzadeh, Keivan Alizadeh, Mohammad Hossein Sekhavat, Moin Nabi, Mehrdad Farajtabar, Fartash Faghri
2024	J	`jnl`	Contrastive Perplexity for Controlled Generation: An Application in Detoxifying Large Language Models. CoRR Tassilo Klein, Moin Nabi
2024	—	`conf`	Duo-LLM: A Framework for Studying Adaptive Computation in Large Language Models. ENLSP Keivan Alizadeh-Vahid, Seyed-Iman Mirzadeh, Hooman Shahrkokhi, Dmitry Belenko, Frank Sun, Minsik Cho, Mohammad Hossein Sekhavat, Moin Nabi, Mehrdad Farajtabar
2024	J	`jnl`	Duo-LLM: A Framework for Studying Adaptive Computation in Large Language Models. CoRR Keivan Alizadeh, Iman Mirzadeh, Hooman Shahrokhi, Dmitry Belenko, Frank Sun, Minsik Cho, Mohammad Hossein Sekhavat, Moin Nabi, Mehrdad Farajtabar
2024	J	`jnl`	KV Prediction for Improved Time to First Token. CoRR Maxwell Horton, Qingqing Cao, Chenfan Sun, Yanzi Jin, Sachin Mehta, Mohammad Rastegari, Moin Nabi
2024	J	`jnl`	Multimodal Autoregressive Pre-training of Large Vision Encoders. CoRR Enrico Fini, Mustafa Shukor, Xiujun Li, Philipp Dufter, Michal Klein, David Haldimann, Sai Aitharaju, Victor Guilherme Turrisi da Costa, Louis Béthune, Zhe Gan, Alexander T. Toshev, Marcin Eichner, Moin Nabi, Yinfei Yang, Joshua M. Susskind, Alaaeldin El-Nouby
2024	J	`jnl`	SALSA: Soup-based Alignment Learning for Stronger Adaptation in RLHF. CoRR Atoosa Malemir Chegini, Hamid Kazemi, Iman Mirzadeh, Dong Yin, Maxwell Horton, Moin Nabi, Mehrdad Farajtabar, Keivan Alizadeh
2024	—	`conf`	Scaling Smart: Accelerating Large Language Model Pre-Training with Small Model Initialization. ENLSP Mohammad Samragh, Seyed-Iman Mirzadeh, Keivan Alizadeh-Vahid, Fartash Faghri, Minsik Cho, Moin Nabi, Devang Naik, Mehrdad Farajtabar
2024	J	`jnl`	Scaling Smart: Accelerating Large Language Model Pre-training with Small Model Initialization. CoRR Mohammad Samragh, Iman Mirzadeh, Keivan Alizadeh-Vahid, Fartash Faghri, Minsik Cho, Moin Nabi, Devang Naik, Mehrdad Farajtabar
2024	J	`jnl`	Visual Scratchpads: Enabling Global Reasoning in Vision. CoRR Aryo Lotfi, Enrico Fini, Samy Bengio, Moin Nabi, Emmanuel Abbe
2023	A*	`conf`	A soft nearest-neighbor framework for continual semi-supervised learning. ICCV Zhiqi Kang, Enrico Fini, Moin Nabi, Elisa Ricci, Karteek Alahari
2023	A*	`conf`	Semi-supervised learning made simple with self-supervised clustering. CVPR Enrico Fini, Pietro Astolfi, Karteek Alahari, Xavier Alameda-Pineda, Julien Mairal, Moin Nabi, Elisa Ricci
2023	J	`jnl`	Semi-supervised learning made simple with self-supervised clustering. CoRR Enrico Fini, Pietro Astolfi, Karteek Alahari, Xavier Alameda-Pineda, Julien Mairal, Moin Nabi, Elisa Ricci
2023	J	`jnl`	Uncertainty-Aware Contrastive Distillation for Incremental Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. Guanglei Yang, Enrico Fini, Dan Xu, Paolo Rota, Mingli Ding, Moin Nabi, Xavier Alameda-Pineda, Elisa Ricci
2023	—	`conf`	miCSE: Mutual Information Contrastive Learning for Low-shot Sentence Embeddings. ACL (1) Tassilo Klein, Moin Nabi
2022	J	`jnl`	A soft nearest-neighbor framework for continual semi-supervised learning. CoRR Zhiqi Kang, Enrico Fini, Moin Nabi, Elisa Ricci, Karteek Alahari
2022	J	`jnl`	Mixture-of-experts VAEs can disregard variation in surjective multimodal data. CoRR Jannik Wolff, Tassilo Klein, Moin Nabi, Rahul G. Krishnan, Shinichi Nakajima
2022	J	`jnl`	SCD: Self-Contrastive Decorrelation for Sentence Embeddings. CoRR Tassilo Klein, Moin Nabi
2022	—	`conf`	SCD: Self-Contrastive Decorrelation of Sentence Embeddings. ACL (2) Tassilo Klein, Moin Nabi
2022	J	`jnl`	Uncertainty-aware Contrastive Distillation for Incremental Semantic Segmentation. CoRR Guanglei Yang, Enrico Fini, Dan Xu, Paolo Rota, Mingli Ding, Moin Nabi, Xavier Alameda-Pineda, Elisa Ricci
2022	J	`jnl`	miCSE: Mutual Information Contrastive Learning for Low-shot Sentence Embeddings. CoRR Tassilo Klein, Moin Nabi
2022	J	`jnl`	solo-learn: A Library of Self-supervised Methods for Visual Representation Learning. J. Mach. Learn. Res. Victor Guilherme Turrisi da Costa, Enrico Fini, Moin Nabi, Nicu Sebe, Elisa Ricci
2021	A*	`conf`	A Unified Objective for Novel Class Discovery. ICCV Enrico Fini, Enver Sangineto, Stéphane Lathuilière, Zhun Zhong, Moin Nabi, Elisa Ricci
2021	J	`jnl`	A Unified Objective for Novel Class Discovery. CoRR Enrico Fini, Enver Sangineto, Stéphane Lathuilière, Zhun Zhong, Moin Nabi, Elisa Ricci
2021	—	`conf`	Attention-based Contrastive Learning for Winograd Schemas. EMNLP (Findings) Tassilo Klein, Moin Nabi
2021	J	`jnl`	Attention-based Contrastive Learning for Winograd Schemas. CoRR Tassilo Klein, Moin Nabi
2021	—	`conf`	EaSe: A Diagnostic Tool for VQA based on Answer Diversity. NAACL-HLT Shailza Jolly, Sandro Pezzelle, Moin Nabi
2021	A	`conf`	Multimodal Prototypical Networks for Few-shot Learning. WACV Frederik Pahde, Mihai Marian Puscas, Tassilo Klein, Moin Nabi
2021	—	`conf`	Multimodal Self-supervised Learning for Medical Image Analysis. IPMI Aiham Taleb, Christoph Lippert, Tassilo Klein, Moin Nabi
2021	J	`jnl`	Solo-learn: A Library of Self-supervised Methods for Visual Representation Learning. CoRR Victor G. Turrisi da Costa, Enrico Fini, Moin Nabi, Nicu Sebe, Elisa Ricci
2021	—	`conf`	Towards Zero-shot Commonsense Reasoning with Self-supervised Refinement of Language Models. EMNLP (1) Tassilo Klein, Moin Nabi
2021	J	`jnl`	Towards Zero-shot Commonsense Reasoning with Self-supervised Refinement of Language Models. CoRR Tassilo Klein, Moin Nabi
2020	A*	`conf`	Contrastive Self-Supervised Learning for Commonsense Reasoning. ACL Tassilo Klein, Moin Nabi
2020	J	`jnl`	Contrastive Self-Supervised Learning for Commonsense Reasoning. CoRR Tassilo Klein, Moin Nabi
2020	Misc	`conf`	Human-Machine Collaboration for Medical Image Segmentation. ICASSP Mahdyar Ravanbakhsh, Vadim Tschernezki, Felix Last, Tassilo Klein, Kayhan Batmanghelich, Volker Tresp, Moin Nabi
2020	J	`jnl`	Learning Graph-Based Priors for Generalized Zero-Shot Learning. CoRR Colin Samplawski, Jannik Wolff, Tassilo Klein, Moin Nabi
2020	J	`jnl`	Multimodal Prototypical Networks for Few-shot Learning. CoRR Frederik Pahde, Mihai Marian Puscas, Tassilo Klein, Moin Nabi
2020	—	`conf`	Online Continual Learning Under Extreme Memory Constraints. ECCV (28) Enrico Fini, Stéphane Lathuilière, Enver Sangineto, Moin Nabi, Elisa Ricci
2020	J	`jnl`	Online Continual Learning under Extreme Memory Constraints. CoRR Enrico Fini, Stéphane Lathuilière, Enver Sangineto, Moin Nabi, Elisa Ricci
2019	—	`conf`	Attention Is (not) All You Need for Commonsense Reasoning. ACL (1) Tassilo Klein, Moin Nabi
2019	J	`jnl`	Attention Is (not) All You Need for Commonsense Reasoning. CoRR Tassilo Klein, Moin Nabi
2019	A*	`conf`	Budget-Aware Adapters for Multi-Domain Learning. ICCV Rodrigo Ferreira Berriel, Stéphane Lathuilière, Moin Nabi, Tassilo Klein, Thiago Oliveira-Santos, Nicu Sebe, Elisa Ricci
2019	J	`jnl`	Budget-Aware Adapters for Multi-Domain Learning. CoRR Rodrigo Ferreira Berriel, Stéphane Lathuilière, Moin Nabi, Tassilo Klein, Thiago Oliveira-Santos, Nicu Sebe, Elisa Ricci
2019	J	`jnl`	Learning to Answer by Learning to Ask: Getting the Best of GPT-2 and BERT Worlds. CoRR Tassilo Klein, Moin Nabi
2019	A*	`conf`	Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning. CVPR Oleksiy Ostapenko, Mihai Marian Puscas, Tassilo Klein, Patrick Jähnichen, Moin Nabi
2019	J	`jnl`	Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning. CoRR Oleksiy Ostapenko, Mihai Marian Puscas, Tassilo Klein, Patrick Jähnichen, Moin Nabi
2019	A	`conf`	Low-Shot Learning From Imaginary 3D Model. WACV Frederik Pahde, Mihai Marian Puscas, Jannik Wolff, Tassilo Klein, Nicu Sebe, Moin Nabi
2019	J	`jnl`	Low-Shot Learning from Imaginary 3D Model. CoRR Frederik Pahde, Mihai Marian Puscas, Jannik Wolff, Tassilo Klein, Nicu Sebe, Moin Nabi
2019	J	`jnl`	Multimodal Self-Supervised Learning for Medical Image Analysis. CoRR Aiham Taleb, Christoph Lippert, Tassilo Klein, Moin Nabi
2019	Misc	`conf`	Prune Your Neurons Blindly: Neural Network Compression through Structured Class-blind Pruning. ICASSP Abdullah Salama, Oleksiy Ostapenko, Tassilo Klein, Moin Nabi
2019	J	`jnl`	Pruning at a Glance: Global Neural Pruning for Model Compression. CoRR Abdullah Salama, Oleksiy Ostapenko, Tassilo Klein, Moin Nabi
2019	J	`jnl`	Self Paced Deep Learning for Weakly Supervised Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. Enver Sangineto, Moin Nabi, Dubravko Culibrk, Nicu Sebe
2019	A	`conf`	Self-Paced Adversarial Training for Multimodal Few-Shot Learning. WACV Frederik Pahde, Oleksiy Ostapenko, Patrick Jähnichen, Tassilo Klein, Moin Nabi
2019	—	`conf`	SynthRel0: Towards a Diagnostic Dataset for Relational Representation Learning. ICCV Workshops Daniel Dorda, Moin Nabi
2019	A	`conf`	Training Adversarial Discriminators for Cross-Channel Abnormal Event Detection in Crowds. WACV Mahdyar Ravanbakhsh, Enver Sangineto, Moin Nabi, Nicu Sebe
2019	—	`conf`	Weakly Supervised One Shot Segmentation. ICCV Workshops Hasnain Raza, Mahdyar Ravanbakhsh, Tassilo Klein, Moin Nabi
2018	J	`jnl`	Cross-modal Hallucination for Few-shot Fine-grained Recognition. CoRR Frederik Pahde, Patrick Jähnichen, Tassilo Klein, Moin Nabi
2018	J	`jnl`	Detection and localization of crowd behavior using a novel tracklet-based model. Int. J. Mach. Learn. Cybern. Hamidreza Rabiee, Hossein Mousavi, Moin Nabi, Mahdyar Ravanbakhsh
2018	B	`conf`	Discriminative Hallucination for Multi-Modal Few-Shot Learning. ICIP Frederik Pahde, Moin Nabi, Tassilo Klein, Patrick Jähnichen
2018	B	`conf`	Fast but Not Deep: Efficient Crowd Abnormality Detection with Local Binary Tracklets. AVSS Mahdyar Ravanbakhsh, Hossein Mousavi, Moin Nabi, Lucio Marcenaro, Carlo S. Regazzoni
2018	A	`conf`	Plug-and-Play CNN for Crowd Motion Analysis: An Application in Abnormal Event Detection. WACV Mahdyar Ravanbakhsh, Moin Nabi, Hossein Mousavi, Enver Sangineto, Nicu Sebe
2018	J	`jnl`	Self Paced Adversarial Training for Multimodal Few-shot Learning. CoRR Frederik Pahde, Oleksiy Ostapenko, Patrick Jähnichen, Tassilo Klein, Moin Nabi
2018	J	`jnl`	The Wisdom of MaSSeS: Majority, Subjectivity, and Semantic Similarity in the Evaluation of VQA. CoRR Shailza Jolly, Sandro Pezzelle, Tassilo Klein, Andreas Dengel, Moin Nabi
2017	Misc	`conf`	A cross-modal adaptation approach for brain decoding. ICASSP Pouya Ghaemmaghami, Moin Nabi, Yan Yan, Giuseppe Riccardi, Nicu Sebe
2017	J	`jnl`	Abnormal Event Detection in Videos using Generative Adversarial Nets. CoRR Mahdyar Ravanbakhsh, Moin Nabi, Enver Sangineto, Lucio Marcenaro, Carlo S. Regazzoni, Nicu Sebe
2017	B	`conf`	Abnormal event detection in videos using generative adversarial nets. ICIP Mahdyar Ravanbakhsh, Moin Nabi, Enver Sangineto, Lucio Marcenaro, Carlo S. Regazzoni, Nicu Sebe
2017	A*	`conf`	Autonomous Crowdsourcing through Human-Machine Collaborative Learning. SIGIR Azad Abad, Moin Nabi, Alessandro Moschitti
2017	J	`jnl`	Differentially Private Federated Learning: A Client Level Perspective. CoRR Robin C. Geyer, Tassilo Klein, Moin Nabi
2017	—	`conf`	FOIL it! Find One mismatch between Image and Language caption. ACL (1) Ravi Shekhar, Sandro Pezzelle, Yauhen Klimovich, Aurélie Herbelot, Moin Nabi, Enver Sangineto, Raffaella Bernardi
2017	J	`jnl`	FOIL it! Find One mismatch between Image and Language caption. CoRR Ravi Shekhar, Sandro Pezzelle, Yauhen Klimovich, Aurélie Herbelot, Moin Nabi, Enver Sangineto, Raffaella Bernardi
2017	—	`conf`	Self-Crowdsourcing Training for Relation Extraction. ACL (2) Azad Abad, Moin Nabi, Alessandro Moschitti
2017	J	`jnl`	Training Adversarial Discriminators for Cross-channel Abnormal Event Detection in Crowds. CoRR Mahdyar Ravanbakhsh, Enver Sangineto, Moin Nabi, Nicu Sebe
2017	—	`conf`	Vision and Language Integration: Moving beyond Objects. IWCS(2) Ravi Shekhar, Sandro Pezzelle, Aurélie Herbelot, Moin Nabi, Enver Sangineto, Raffaella Bernardi
2016	J	`jnl`	CNN-aware Binary Map for General Semantic Segmentation. CoRR Mahdyar Ravanbakhsh, Hossein Mousavi, Moin Nabi, Mohammad Rastegari, Carlo S. Regazzoni
2016	B	`conf`	CNN-aware binary MAP for general semantic segmentation. ICIP Mahdyar Ravanbakhsh, Hossein Mousavi, Moin Nabi, Mohammad Rastegari, Carlo S. Regazzoni
2016	J	`jnl`	Efficient Convolutional Neural Network with Binary Quantization Layer. CoRR Mahdyar Ravanbakhsh, Hossein Mousavi, Moin Nabi, Lucio Marcenaro, Carlo S. Regazzoni
2016	J	`jnl`	Emotion-Based Crowd Representation for Abnormality Detection. CoRR Hamidreza Rabiee, Javad Haddadnia, Hossein Mousavi, Moin Nabi, Vittorio Murino, Nicu Sebe
2016	B	`conf`	Novel dataset for fine-grained abnormal behavior understanding in crowd. AVSS Hamidreza Rabiee, Javad Haddadnia, Hossein Mousavi, Maziyar Kalantarzadeh, Moin Nabi, Vittorio Murino
2016	J	`jnl`	Plug-and-Play CNN for Crowd Motion Analysis: An Application in Abnormal Event Detection. CoRR Mahdyar Ravanbakhsh, Moin Nabi, Hossein Mousavi, Enver Sangineto, Nicu Sebe
2016	J	`jnl`	Self Paced Deep Learning for Weakly Supervised Object Detection. CoRR Enver Sangineto, Moin Nabi, Dubravko Culibrk, Nicu Sebe
2016	B	`conf`	Sparse-coded cross-domain adaptation from the visual to the brain domain. ICPR Pouya Ghaemmaghami, Moin Nabi, Yan Yan, Nicu Sebe
2015	—	`conf`	Abnormality Detection with Improved Histogram of Oriented Tracklets. ICIAP (2) Hossein Mousavi, Moin Nabi, Hamed Kiani Galoogahi, Alessandro Perina, Vittorio Murino
2015	B	`conf`	Crowd motion monitoring using tracklet-based commotion measure. ICIP Hossein Mousavi, Moin Nabi, Hamed Kiani, Alessandro Perina, Vittorio Murino
2015	A*	`conf`	Learning with dataset bias in latent subcategory models. CVPR Dimitris Stamos, Samuele Martelli, Moin Nabi, Andrew M. McDonald, Vittorio Murino, Massimiliano Pontil
2015	J	`jnl`	Mid-level Representation for Visual Recognition. CoRR Moin Nabi
2013	—	`conf`	Temporal Poselets for Collective Activity Detection and Recognition. ICCV Workshops Moin Nabi, Alessio Del Bue, Vittorio Murino