Moin Nabi

According to our database, Moin Nabi authored at least 60 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Multimodal Autoregressive Pre-training of Large Vision Encoders.

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

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

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

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

KV Prediction for Improved Time to First Token.

Maxwell Horton, Qingqing Cao, Chenfan Sun, Yanzi Jin, Sachin Mehta, Mohammad Rastegari, Moin Nabi

CoRR, 2024

Visual Scratchpads: Enabling Global Reasoning in Vision.

Aryo Lotfi, Enrico Fini, Samy Bengio, Moin Nabi, Emmanuel Abbe

CoRR, 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

CoRR, 2024

Contrastive Perplexity for Controlled Generation: An Application in Detoxifying Large Language Models.

Tassilo Klein, Moin Nabi

CoRR, 2024

2023

Uncertainty-Aware Contrastive Distillation for Incremental Semantic Segmentation.

Guanglei Yang, Enrico Fini, Dan Xu, Paolo Rota, Mingli Ding, Moin Nabi, Xavier Alameda-Pineda, Elisa Ricci

IEEE Trans. Pattern Anal. Mach. Intell., 2023

A soft nearest-neighbor framework for continual semi-supervised learning.

Zhiqi Kang, Enrico Fini, Moin Nabi, Elisa Ricci, Karteek Alahari

Proceedings of the IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

miCSE: Mutual Information Contrastive Learning for Low-shot Sentence Embeddings.

Tassilo Klein, Moin Nabi

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

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

J. Mach. Learn. Res., 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

SCD: Self-Contrastive Decorrelation of Sentence Embeddings.

Tassilo Klein, Moin Nabi

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021

Multimodal Prototypical Networks for Few-shot Learning.

Frederik Pahde, Mihai Marian Puscas, Tassilo Klein, Moin Nabi

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

EaSe: A Diagnostic Tool for VQA based on Answer Diversity.

Shailza Jolly, Sandro Pezzelle, Moin Nabi

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Multimodal Self-supervised Learning for Medical Image Analysis.

Aiham Taleb, Christoph Lippert, Tassilo Klein, Moin Nabi

Proceedings of the Information Processing in Medical Imaging, 2021

A Unified Objective for Novel Class Discovery.

Enrico Fini, Enver Sangineto, Stéphane Lathuilière, Zhun Zhong, Moin Nabi, Elisa Ricci

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Attention-based Contrastive Learning for Winograd Schemas.

Tassilo Klein, Moin Nabi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Towards Zero-shot Commonsense Reasoning with Self-supervised Refinement of Language Models.

Tassilo Klein, Moin Nabi

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Learning Graph-Based Priors for Generalized Zero-Shot Learning.

Colin Samplawski, Jannik Wolff, Tassilo Klein, Moin Nabi

CoRR, 2020

Human-Machine Collaboration for Medical Image Segmentation.

Mahdyar Ravanbakhsh, Vadim Tschernezki, Felix Last, Tassilo Klein, Kayhan Batmanghelich, Volker Tresp, Moin Nabi

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Online Continual Learning Under Extreme Memory Constraints.

Enrico Fini, Stéphane Lathuilière, Enver Sangineto, Moin Nabi, Elisa Ricci

Proceedings of the Computer Vision - ECCV 2020, 2020

Contrastive Self-Supervised Learning for Commonsense Reasoning.

Tassilo Klein, Moin Nabi

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

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

Pruning at a Glance: Global Neural Pruning for Model Compression.

Abdullah Salama, Oleksiy Ostapenko, Tassilo Klein, Moin Nabi

CoRR, 2019

Learning to Answer by Learning to Ask: Getting the Best of GPT-2 and BERT Worlds.

Tassilo Klein, Moin Nabi

CoRR, 2019

Training Adversarial Discriminators for Cross-Channel Abnormal Event Detection in Crowds.

Mahdyar Ravanbakhsh, Enver Sangineto, Moin Nabi, Nicu Sebe

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Low-Shot Learning From Imaginary 3D Model.

Frederik Pahde, Mihai Marian Puscas, Jannik Wolff, Tassilo Klein, Nicu Sebe, Moin Nabi

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Self-Paced Adversarial Training for Multimodal Few-Shot Learning.

Frederik Pahde, Oleksiy Ostapenko, Patrick Jähnichen, Tassilo Klein, Moin Nabi

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Weakly Supervised One Shot Segmentation.

Hasnain Raza, Mahdyar Ravanbakhsh, Tassilo Klein, Moin Nabi

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

SynthRel0: Towards a Diagnostic Dataset for Relational Representation Learning.

Daniel Dorda, Moin Nabi

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Budget-Aware Adapters for Multi-Domain Learning.

Rodrigo Ferreira Berriel, Stéphane Lathuilière, Moin Nabi, Tassilo Klein, Thiago Oliveira-Santos, Nicu Sebe, Elisa Ricci

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Prune Your Neurons Blindly: Neural Network Compression through Structured Class-blind Pruning.

Abdullah Salama, Oleksiy Ostapenko, Tassilo Klein, Moin Nabi

Proceedings of the IEEE International Conference on Acoustics, 2019

Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning.

Oleksiy Ostapenko, Mihai Marian Puscas, Tassilo Klein, Patrick Jähnichen, Moin Nabi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Attention Is (not) All You Need for Commonsense Reasoning.

Tassilo Klein, Moin Nabi

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

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

The Wisdom of MaSSeS: Majority, Subjectivity, and Semantic Similarity in the Evaluation of VQA.

Shailza Jolly, Sandro Pezzelle, Tassilo Klein, Andreas Dengel, Moin Nabi

CoRR, 2018

Cross-modal Hallucination for Few-shot Fine-grained Recognition.

Frederik Pahde, Patrick Jähnichen, Tassilo Klein, Moin Nabi

CoRR, 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

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Discriminative Hallucination for Multi-Modal Few-Shot Learning.

Frederik Pahde, Moin Nabi, Tassilo Klein, Patrick Jähnichen

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Fast but Not Deep: Efficient Crowd Abnormality Detection with Local Binary Tracklets.

Mahdyar Ravanbakhsh, Hossein Mousavi, Moin Nabi, Lucio Marcenaro, Carlo S. Regazzoni

Proceedings of the 15th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2018

2017

Differentially Private Federated Learning: A Client Level Perspective.

Robin C. Geyer, Tassilo Klein, Moin Nabi

CoRR, 2017

Autonomous Crowdsourcing through Human-Machine Collaborative Learning.

Azad Abad, Moin Nabi, Alessandro Moschitti

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Vision and Language Integration: Moving beyond Objects.

Ravi Shekhar, Sandro Pezzelle, Aurélie Herbelot, Moin Nabi, Enver Sangineto, Raffaella Bernardi

Proceedings of the IWCS 2017 - 12th International Conference on Computational Semantics - Short papers, Montpellier, France, September 19, 2017

Abnormal event detection in videos using generative adversarial nets.

Mahdyar Ravanbakhsh, Moin Nabi, Enver Sangineto, Lucio Marcenaro, Carlo S. Regazzoni, Nicu Sebe

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

A cross-modal adaptation approach for brain decoding.

Pouya Ghaemmaghami, Moin Nabi, Yan Yan, Giuseppe Riccardi, Nicu Sebe

Proceedings of the 2017 IEEE International Conference on Acoustics, 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

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Self-Crowdsourcing Training for Relation Extraction.

Azad Abad, Moin Nabi, Alessandro Moschitti

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Efficient Convolutional Neural Network with Binary Quantization Layer.

Mahdyar Ravanbakhsh, Hossein Mousavi, Moin Nabi, Lucio Marcenaro, Carlo S. Regazzoni

CoRR, 2016

Emotion-Based Crowd Representation for Abnormality Detection.

Hamid Reza Rabiee, Javad Haddadnia, Hossein Mousavi, Moin Nabi, Vittorio Murino, Nicu Sebe

CoRR, 2016

Sparse-coded cross-domain adaptation from the visual to the brain domain.

Pouya Ghaemmaghami, Moin Nabi, Yan Yan, Nicu Sebe

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

CNN-aware binary MAP for general semantic segmentation.

Mahdyar Ravanbakhsh, Hossein Mousavi, Moin Nabi, Mohammad Rastegari, Carlo S. Regazzoni

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Novel dataset for fine-grained abnormal behavior understanding in crowd.

Hamid Reza Rabiee, Javad Haddadnia, Hossein Mousavi, Maziyar Kalantarzadeh, Moin Nabi, Vittorio Murino

Proceedings of the 13th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2016

2015

Mid-level Representation for Visual Recognition.

Moin Nabi

CoRR, 2015

Crowd motion monitoring using tracklet-based commotion measure.

Hossein Mousavi, Moin Nabi, Hamed Kiani, Alessandro Perina, Vittorio Murino

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Abnormality Detection with Improved Histogram of Oriented Tracklets.

Hossein Mousavi, Moin Nabi, Hamed Kiani Galoogahi, Alessandro Perina, Vittorio Murino

Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015

Learning with dataset bias in latent subcategory models.

Dimitris Stamos, Samuele Martelli, Moin Nabi, Andrew M. McDonald, Vittorio Murino, Massimiliano Pontil

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2013

Temporal Poselets for Collective Activity Detection and Recognition.

Moin Nabi, Alessio Del Bue, Vittorio Murino

Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013