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Moin Nabi
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2020 – today
- 2024
- [i41]Tassilo Klein, Moin Nabi:
Contrastive Perplexity for Controlled Generation: An Application in Detoxifying Large Language Models. CoRR abs/2401.08491 (2024) - [i40]Mohammad Samragh, Seyed-Iman Mirzadeh, Keivan Alizadeh-Vahid, Fartash Faghri, Minsik Cho, Moin Nabi, Devang Naik, Mehrdad Farajtabar:
Scaling Smart: Accelerating Large Language Model Pre-training with Small Model Initialization. CoRR abs/2409.12903 (2024) - [i39]Aryo Lotfi, Enrico Fini, Samy Bengio, Moin Nabi, Emmanuel Abbe:
Visual Scratchpads: Enabling Global Reasoning in Vision. CoRR abs/2410.08165 (2024) - [i38]Maxwell Horton, Qingqing Cao, Chenfan Sun, Yanzi Jin, Sachin Mehta, Mohammad Rastegari, Moin Nabi:
KV Prediction for Improved Time to First Token. CoRR abs/2410.08391 (2024) - [i37]Keivan Alizadeh, Iman Mirzadeh, Hooman Shahrokhi, Dmitry Belenko, Frank Sun, Minsik Cho, Mohammad Hossein Sekhavat, Moin Nabi, Mehrdad Farajtabar:
Duo-LLM: A Framework for Studying Adaptive Computation in Large Language Models. CoRR abs/2410.10846 (2024) - [i36]Saleh Ashkboos, Iman Mirzadeh, Keivan Alizadeh, Mohammad Hossein Sekhavat, Moin Nabi, Mehrdad Farajtabar, Fartash Faghri:
Computational Bottlenecks of Training Small-scale Large Language Models. CoRR abs/2410.19456 (2024) - [i35]Atoosa Malemir Chegini, Hamid Kazemi, Iman Mirzadeh, Dong Yin, Maxwell Horton, Moin Nabi, Mehrdad Farajtabar, Keivan Alizadeh:
SALSA: Soup-based Alignment Learning for Stronger Adaptation in RLHF. CoRR abs/2411.01798 (2024) - 2023
- [j4]Guanglei Yang, Enrico Fini, Dan Xu, Paolo Rota, Mingli Ding, Moin Nabi, Xavier Alameda-Pineda, Elisa Ricci:
Uncertainty-Aware Contrastive Distillation for Incremental Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2567-2581 (2023) - [c38]Tassilo Klein, Moin Nabi:
miCSE: Mutual Information Contrastive Learning for Low-shot Sentence Embeddings. ACL (1) 2023: 6159-6177 - [c37]Enrico Fini, Pietro Astolfi, Karteek Alahari, Xavier Alameda-Pineda, Julien Mairal, Moin Nabi, Elisa Ricci:
Semi-supervised learning made simple with self-supervised clustering. CVPR 2023: 3187-3197 - [c36]Zhiqi Kang, Enrico Fini, Moin Nabi, Elisa Ricci, Karteek Alahari:
A soft nearest-neighbor framework for continual semi-supervised learning. ICCV 2023: 11834-11843 - [i34]Enrico Fini, Pietro Astolfi, Karteek Alahari, Xavier Alameda-Pineda, Julien Mairal, Moin Nabi, Elisa Ricci:
Semi-supervised learning made simple with self-supervised clustering. CoRR abs/2306.07483 (2023) - 2022
- [j3]Victor Guilherme Turrisi da Costa, Enrico Fini, Moin Nabi, Nicu Sebe, Elisa Ricci:
solo-learn: A Library of Self-supervised Methods for Visual Representation Learning. J. Mach. Learn. Res. 23: 56:1-56:6 (2022) - [c35]Tassilo Klein, Moin Nabi:
SCD: Self-Contrastive Decorrelation of Sentence Embeddings. ACL (2) 2022: 394-400 - [i33]Tassilo Klein, Moin Nabi:
SCD: Self-Contrastive Decorrelation for Sentence Embeddings. CoRR abs/2203.07847 (2022) - [i32]Guanglei Yang, Enrico Fini, Dan Xu, Paolo Rota, Mingli Ding, Moin Nabi, Xavier Alameda-Pineda, Elisa Ricci:
Uncertainty-aware Contrastive Distillation for Incremental Semantic Segmentation. CoRR abs/2203.14098 (2022) - [i31]Jannik Wolff, Tassilo Klein, Moin Nabi, Rahul G. Krishnan, Shinichi Nakajima:
Mixture-of-experts VAEs can disregard variation in surjective multimodal data. CoRR abs/2204.05229 (2022) - [i30]Tassilo Klein, Moin Nabi:
miCSE: Mutual Information Contrastive Learning for Low-shot Sentence Embeddings. CoRR abs/2211.04928 (2022) - [i29]Zhiqi Kang, Enrico Fini, Moin Nabi, Elisa Ricci, Karteek Alahari:
A soft nearest-neighbor framework for continual semi-supervised learning. CoRR abs/2212.05102 (2022) - 2021
- [c34]Tassilo Klein, Moin Nabi:
Attention-based Contrastive Learning for Winograd Schemas. EMNLP (Findings) 2021: 2428-2434 - [c33]Tassilo Klein, Moin Nabi:
Towards Zero-shot Commonsense Reasoning with Self-supervised Refinement of Language Models. EMNLP (1) 2021: 8737-8743 - [c32]Enrico Fini, Enver Sangineto, Stéphane Lathuilière, Zhun Zhong, Moin Nabi, Elisa Ricci:
A Unified Objective for Novel Class Discovery. ICCV 2021: 9264-9272 - [c31]Aiham Taleb, Christoph Lippert, Tassilo Klein, Moin Nabi:
Multimodal Self-supervised Learning for Medical Image Analysis. IPMI 2021: 661-673 - [c30]Shailza Jolly, Sandro Pezzelle, Moin Nabi:
EaSe: A Diagnostic Tool for VQA based on Answer Diversity. NAACL-HLT 2021: 2407-2414 - [c29]Frederik Pahde, Mihai Marian Puscas, Tassilo Klein, Moin Nabi:
Multimodal Prototypical Networks for Few-shot Learning. WACV 2021: 2643-2652 - [i28]Victor G. Turrisi da Costa, Enrico Fini, Moin Nabi, Nicu Sebe, Elisa Ricci:
Solo-learn: A Library of Self-supervised Methods for Visual Representation Learning. CoRR abs/2108.01775 (2021) - [i27]Enrico Fini, Enver Sangineto, Stéphane Lathuilière, Zhun Zhong, Moin Nabi, Elisa Ricci:
A Unified Objective for Novel Class Discovery. CoRR abs/2108.08536 (2021) - [i26]Tassilo Klein, Moin Nabi:
Towards Zero-shot Commonsense Reasoning with Self-supervised Refinement of Language Models. CoRR abs/2109.05105 (2021) - [i25]Tassilo Klein, Moin Nabi:
Attention-based Contrastive Learning for Winograd Schemas. CoRR abs/2109.05108 (2021) - 2020
- [c28]Tassilo Klein, Moin Nabi:
Contrastive Self-Supervised Learning for Commonsense Reasoning. ACL 2020: 7517-7523 - [c27]Enrico Fini, Stéphane Lathuilière, Enver Sangineto, Moin Nabi, Elisa Ricci:
Online Continual Learning Under Extreme Memory Constraints. ECCV (28) 2020: 720-735 - [c26]Mahdyar Ravanbakhsh, Vadim Tschernezki, Felix Last, Tassilo Klein, Kayhan Batmanghelich, Volker Tresp, Moin Nabi:
Human-Machine Collaboration for Medical Image Segmentation. ICASSP 2020: 1040-1044 - [i24]Tassilo Klein, Moin Nabi:
Contrastive Self-Supervised Learning for Commonsense Reasoning. CoRR abs/2005.00669 (2020) - [i23]Enrico Fini, Stéphane Lathuilière, Enver Sangineto, Moin Nabi, Elisa Ricci:
Online Continual Learning under Extreme Memory Constraints. CoRR abs/2008.01510 (2020) - [i22]Colin Samplawski, Jannik Wolff, Tassilo Klein, Moin Nabi:
Learning Graph-Based Priors for Generalized Zero-Shot Learning. CoRR abs/2010.11369 (2020) - [i21]Frederik Pahde, Mihai Marian Puscas, Tassilo Klein, Moin Nabi:
Multimodal Prototypical Networks for Few-shot Learning. CoRR abs/2011.08899 (2020)
2010 – 2019
- 2019
- [j2]Enver Sangineto, Moin Nabi, Dubravko Culibrk, Nicu Sebe:
Self Paced Deep Learning for Weakly Supervised Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 41(3): 712-725 (2019) - [c25]Tassilo Klein, Moin Nabi:
Attention Is (not) All You Need for Commonsense Reasoning. ACL (1) 2019: 4831-4836 - [c24]Oleksiy Ostapenko, Mihai Marian Puscas, Tassilo Klein, Patrick Jähnichen, Moin Nabi:
Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning. CVPR 2019: 11321-11329 - [c23]Abdullah Salama, Oleksiy Ostapenko, Tassilo Klein, Moin Nabi:
Prune Your Neurons Blindly: Neural Network Compression through Structured Class-blind Pruning. ICASSP 2019: 2802-2806 - [c22]Rodrigo Ferreira Berriel, Stéphane Lathuilière, Moin Nabi, Tassilo Klein, Thiago Oliveira-Santos, Nicu Sebe, Elisa Ricci:
Budget-Aware Adapters for Multi-Domain Learning. ICCV 2019: 382-391 - [c21]Hasnain Raza, Mahdyar Ravanbakhsh, Tassilo Klein, Moin Nabi:
Weakly Supervised One Shot Segmentation. ICCV Workshops 2019: 1401-1406 - [c20]Daniel Dorda, Moin Nabi:
SynthRel0: Towards a Diagnostic Dataset for Relational Representation Learning. ICCV Workshops 2019: 1765-1771 - [c19]Frederik Pahde, Oleksiy Ostapenko, Patrick Jähnichen, Tassilo Klein, Moin Nabi:
Self-Paced Adversarial Training for Multimodal Few-Shot Learning. WACV 2019: 218-226 - [c18]Frederik Pahde, Mihai Marian Puscas, Jannik Wolff, Tassilo Klein, Nicu Sebe, Moin Nabi:
Low-Shot Learning From Imaginary 3D Model. WACV 2019: 978-985 - [c17]Mahdyar Ravanbakhsh, Enver Sangineto, Moin Nabi, Nicu Sebe:
Training Adversarial Discriminators for Cross-Channel Abnormal Event Detection in Crowds. WACV 2019: 1896-1904 - [i20]Frederik Pahde, Mihai Marian Puscas, Jannik Wolff, Tassilo Klein, Nicu Sebe, Moin Nabi:
Low-Shot Learning from Imaginary 3D Model. CoRR abs/1901.01868 (2019) - [i19]Oleksiy Ostapenko, Mihai Marian Puscas, Tassilo Klein, Patrick Jähnichen, Moin Nabi:
Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning. CoRR abs/1904.03137 (2019) - [i18]Rodrigo Ferreira Berriel, Stéphane Lathuilière, Moin Nabi, Tassilo Klein, Thiago Oliveira-Santos, Nicu Sebe, Elisa Ricci:
Budget-Aware Adapters for Multi-Domain Learning. CoRR abs/1905.06242 (2019) - [i17]Tassilo Klein, Moin Nabi:
Attention Is (not) All You Need for Commonsense Reasoning. CoRR abs/1905.13497 (2019) - [i16]Tassilo Klein, Moin Nabi:
Learning to Answer by Learning to Ask: Getting the Best of GPT-2 and BERT Worlds. CoRR abs/1911.02365 (2019) - [i15]Abdullah Salama, Oleksiy Ostapenko, Tassilo Klein, Moin Nabi:
Pruning at a Glance: Global Neural Pruning for Model Compression. CoRR abs/1912.00200 (2019) - [i14]Aiham Taleb, Christoph Lippert, Tassilo Klein, Moin Nabi:
Multimodal Self-Supervised Learning for Medical Image Analysis. CoRR abs/1912.05396 (2019) - 2018
- [j1]Hamid R. Rabiee, Hossein Mousavi, Moin Nabi, Mahdyar Ravanbakhsh:
Detection and localization of crowd behavior using a novel tracklet-based model. Int. J. Mach. Learn. Cybern. 9(12): 1999-2010 (2018) - [c16]Mahdyar Ravanbakhsh, Hossein Mousavi, Moin Nabi, Lucio Marcenaro, Carlo S. Regazzoni:
Fast but Not Deep: Efficient Crowd Abnormality Detection with Local Binary Tracklets. AVSS 2018: 1-6 - [c15]Frederik Pahde, Moin Nabi, Tassilo Klein, Patrick Jähnichen:
Discriminative Hallucination for Multi-Modal Few-Shot Learning. ICIP 2018: 156-160 - [c14]Mahdyar Ravanbakhsh, Moin Nabi, Hossein Mousavi, Enver Sangineto, Nicu Sebe:
Plug-and-Play CNN for Crowd Motion Analysis: An Application in Abnormal Event Detection. WACV 2018: 1689-1698 - [i13]Frederik Pahde, Patrick Jähnichen, Tassilo Klein, Moin Nabi:
Cross-modal Hallucination for Few-shot Fine-grained Recognition. CoRR abs/1806.05147 (2018) - [i12]Shailza Jolly, Sandro Pezzelle, Tassilo Klein, Andreas Dengel, Moin Nabi:
The Wisdom of MaSSeS: Majority, Subjectivity, and Semantic Similarity in the Evaluation of VQA. CoRR abs/1809.04344 (2018) - [i11]Frederik Pahde, Oleksiy Ostapenko, Patrick Jähnichen, Tassilo Klein, Moin Nabi:
Self Paced Adversarial Training for Multimodal Few-shot Learning. CoRR abs/1811.09192 (2018) - 2017
- [c13]Ravi Shekhar, Sandro Pezzelle, Yauhen Klimovich, Aurélie Herbelot, Moin Nabi, Enver Sangineto, Raffaella Bernardi:
FOIL it! Find One mismatch between Image and Language caption. ACL (1) 2017: 255-265 - [c12]Azad Abad, Moin Nabi, Alessandro Moschitti:
Self-Crowdsourcing Training for Relation Extraction. ACL (2) 2017: 518-523 - [c11]Pouya Ghaemmaghami, Moin Nabi, Yan Yan, Giuseppe Riccardi, Nicu Sebe:
A cross-modal adaptation approach for brain decoding. ICASSP 2017: 969-973 - [c10]Mahdyar Ravanbakhsh, Moin Nabi, Enver Sangineto, Lucio Marcenaro, Carlo S. Regazzoni, Nicu Sebe:
Abnormal event detection in videos using generative adversarial nets. ICIP 2017: 1577-1581 - [c9]Ravi Shekhar, Sandro Pezzelle, Aurélie Herbelot, Moin Nabi, Enver Sangineto, Raffaella Bernardi:
Vision and Language Integration: Moving beyond Objects. IWCS(2) 2017 - [c8]Azad Abad, Moin Nabi, Alessandro Moschitti:
Autonomous Crowdsourcing through Human-Machine Collaborative Learning. SIGIR 2017: 873-876 - [i10]Ravi Shekhar, Sandro Pezzelle, Yauhen Klimovich, Aurélie Herbelot, Moin Nabi, Enver Sangineto, Raffaella Bernardi:
FOIL it! Find One mismatch between Image and Language caption. CoRR abs/1705.01359 (2017) - [i9]Mahdyar Ravanbakhsh, Enver Sangineto, Moin Nabi, Nicu Sebe:
Training Adversarial Discriminators for Cross-channel Abnormal Event Detection in Crowds. CoRR abs/1706.07680 (2017) - [i8]Mahdyar Ravanbakhsh, Moin Nabi, Enver Sangineto, Lucio Marcenaro, Carlo S. Regazzoni, Nicu Sebe:
Abnormal Event Detection in Videos using Generative Adversarial Nets. CoRR abs/1708.09644 (2017) - [i7]Robin C. Geyer, Tassilo Klein, Moin Nabi:
Differentially Private Federated Learning: A Client Level Perspective. CoRR abs/1712.07557 (2017) - 2016
- [c7]Hamid Reza Rabiee, Javad Haddadnia, Hossein Mousavi, Maziyar Kalantarzadeh, Moin Nabi, Vittorio Murino:
Novel dataset for fine-grained abnormal behavior understanding in crowd. AVSS 2016: 95-101 - [c6]Mahdyar Ravanbakhsh, Hossein Mousavi, Moin Nabi, Mohammad Rastegari, Carlo S. Regazzoni:
CNN-aware binary MAP for general semantic segmentation. ICIP 2016: 1923-1927 - [c5]Pouya Ghaemmaghami, Moin Nabi, Yan Yan, Nicu Sebe:
Sparse-coded cross-domain adaptation from the visual to the brain domain. ICPR 2016: 4214-4219 - [i6]Enver Sangineto, Moin Nabi, Dubravko Culibrk, Nicu Sebe:
Self Paced Deep Learning for Weakly Supervised Object Detection. CoRR abs/1605.07651 (2016) - [i5]Hamid Reza Rabiee, Javad Haddadnia, Hossein Mousavi, Moin Nabi, Vittorio Murino, Nicu Sebe:
Emotion-Based Crowd Representation for Abnormality Detection. CoRR abs/1607.07646 (2016) - [i4]Mahdyar Ravanbakhsh, Hossein Mousavi, Moin Nabi, Mohammad Rastegari, Carlo S. Regazzoni:
CNN-aware Binary Map for General Semantic Segmentation. CoRR abs/1609.09220 (2016) - [i3]Mahdyar Ravanbakhsh, Moin Nabi, Hossein Mousavi, Enver Sangineto, Nicu Sebe:
Plug-and-Play CNN for Crowd Motion Analysis: An Application in Abnormal Event Detection. CoRR abs/1610.00307 (2016) - [i2]Mahdyar Ravanbakhsh, Hossein Mousavi, Moin Nabi, Lucio Marcenaro, Carlo S. Regazzoni:
Efficient Convolutional Neural Network with Binary Quantization Layer. CoRR abs/1611.06764 (2016) - 2015
- [c4]Dimitris Stamos, Samuele Martelli, Moin Nabi, Andrew M. McDonald, Vittorio Murino, Massimiliano Pontil:
Learning with dataset bias in latent subcategory models. CVPR 2015: 3650-3658 - [c3]Hossein Mousavi, Moin Nabi, Hamed Kiani Galoogahi, Alessandro Perina, Vittorio Murino:
Abnormality Detection with Improved Histogram of Oriented Tracklets. ICIAP (2) 2015: 722-732 - [c2]Hossein Mousavi, Moin Nabi, Hamed Kiani, Alessandro Perina, Vittorio Murino:
Crowd motion monitoring using tracklet-based commotion measure. ICIP 2015: 2354-2358 - [i1]Moin Nabi:
Mid-level Representation for Visual Recognition. CoRR abs/1512.07314 (2015) - 2013
- [c1]Moin Nabi, Alessio Del Bue, Vittorio Murino:
Temporal Poselets for Collective Activity Detection and Recognition. ICCV Workshops 2013: 500-507
Coauthor Index
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last updated on 2024-12-13 19:12 CET by the dblp team
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