Ershad Banijamali

29 papers A* 5A 2B 3Misc 1Journal 16Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	QuZO: Quantized Zeroth-Order Fine-Tuning for Large Language Models. EMNLP Jiajun Zhou, Yifan Yang, Kai Zhen, Ziyue Liu, Yequan Zhao, Ershad Banijamali, Athanasios Mouchtaris, Ngai Wong, Zheng Zhang
2025	J	`jnl`	QuZO: Quantized Zeroth-Order Fine-Tuning for Large Language Models. CoRR Jiajun Zhou, Yifan Yang, Kai Zhen, Ziyue Liu, Yequan Zhao, Ershad Banijamali, Athanasios Mouchtaris, Ngai Wong, Zheng Zhang
2024	A*	`conf`	AdaZeta: Adaptive Zeroth-Order Tensor-Train Adaption for Memory-Efficient Large Language Models Fine-Tuning. EMNLP Yifan Yang, Kai Zhen, Ershad Banijamali, Athanasios Mouchtaris, Zheng Zhang
2024	J	`jnl`	AdaZeta: Adaptive Zeroth-Order Tensor-Train Adaption for Memory-Efficient Large Language Models Fine-Tuning. CoRR Yifan Yang, Kai Zhen, Ershad Banijamali, Athanasios Mouchtaris, Zheng Zhang
2024	J	`jnl`	CALICO: Conversational Agent Localization via Synthetic Data Generation. CoRR Andy Rosenbaum, Pegah Kharazmi, Ershad Banijamali, Lu Zeng, Christopher DiPersio, Pan Wei, Gokmen Oz, Clement Chung, Karolina Owczarzak, Fabian Triefenbach, Wael Hamza
2023	Misc	`conf`	Pyramid Dynamic Inference: Encouraging Faster Inference Via Early Exit Boosting. ICASSP Ershad Banijamali, Pegah Kharazmi, Sepehr Eghbali, Jixuan Wang, Clement Chung, Samridhi Choudhary
2022	A*	`conf`	Neural Relational Inference with Node-Specific Information. ICLR Ershad Banijamali
2021	A*	`conf`	Prediction by Anticipation: An Action-Conditional Prediction Method based on Interaction Learning. ICCV Ershad Banijamali, Mohsen Rohani, Elmira Amirloo Abolfathi, Jun Luo, Pascal Poupart
2021	A*	`conf`	Self-Supervised Simultaneous Multi-Step Prediction of Road Dynamics and Cost Map. CVPR Elmira Amirloo Abolfathi, Mohsen Rohani, Ershad Banijamali, Jun Luo, Pascal Poupart
2021	J	`jnl`	Self-Supervised Simultaneous Multi-Step Prediction of Road Dynamics and Cost Map. CoRR Elmira Amirloo Abolfathi, Mohsen Rohani, Ershad Banijamali, Jun Luo, Pascal Poupart
2020	J	`jnl`	Prediction by Anticipation: An Action-Conditional Prediction Method based on Interaction Learning. CoRR Ershad Banijamali, Mohsen Rohani, Elmira Amirloo Abolfathi, Jun Luo, Pascal Poupart
2019	A	`conf`	Optimizing over a Restricted Policy Class in MDPs. AISTATS Ershad Banijamali, Yasin Abbasi-Yadkori, Mohammad Ghavamzadeh, Nikos Vlassis
2018	J	`jnl`	Deep Variational Sufficient Dimensionality Reduction. CoRR Ershad Banijamali, Amir-Hossein Karimi, Ali Ghodsi
2018	J	`jnl`	Optimizing over a Restricted Policy Class in Markov Decision Processes. CoRR Ershad Banijamali, Yasin Abbasi-Yadkori, Mohammad Ghavamzadeh, Nikos Vlassis
2018	A	`conf`	Robust Locally-Linear Controllable Embedding. AISTATS Ershad Banijamali, Rui Shu, Mohammad Ghavamzadeh, Hung Bui, Ali Ghodsi
2017	J	`jnl`	Disentangling Dynamics and Content for Control and Planning. CoRR Ershad Banijamali, Ahmad Khajenezhad, Ali Ghodsi, Mohammad Ghavamzadeh
2017	—	`conf`	Fast Spectral Clustering Using Autoencoders and Landmarks. ICIAR Ershad Banijamali, Ali Ghodsi
2017	J	`jnl`	Fast Spectral Clustering Using Autoencoders and Landmarks. CoRR Ershad Banijamali, Ali Ghodsi
2017	J	`jnl`	Generative Mixture of Networks. CoRR Ershad Banijamali, Ali Ghodsi, Pascal Poupart
2017	B	`conf`	Generative mixture of networks. IJCNN Ershad Banijamali, Ali Ghodsi, Pascal Poupart
2017	J	`jnl`	JADE: Joint Autoencoders for Dis-Entanglement. CoRR Ershad Banijamali, Amir-Hossein Karimi, Alexander Wong, Ali Ghodsi
2017	J	`jnl`	Robust Locally-Linear Controllable Embedding. CoRR Ershad Banijamali, Rui Shu, Mohammad Ghavamzadeh, Hung Bui, Ali Ghodsi
2016	J	`jnl`	Gabor Barcodes for Medical Image Retrieval. CoRR Mina Nouredanesh, Hamid R. Tizhoosh, Ershad Banijamali
2016	B	`conf`	Gabor barcodes for medical image retrieval. ICIP Mina Nouredanesh, Hamid R. Tizhoosh, Ershad Banijamali
2016	J	`jnl`	Gaussian Two-Way Channels With Discrete Inputs and Quantized Outputs. CoRR Ershad Banijamali
2016	—	`conf`	Online Algorithms for Sum-Product Networks with Continuous Variables. Probabilistic Graphical Models Priyank Jaini, Abdullah Rashwan, Han Zhao, Yue Liu, Ershad Banijamali, Zhitang Chen, Pascal Poupart
2016	J	`jnl`	Radon-Gabor Barcodes for Medical Image Retrieval. CoRR Mina Nouredanesh, Hamid R. Tizhoosh, Ershad Banijamali, James Tung
2016	B	`conf`	Radon-Gabor barcodes for medical image retrieval. ICPR Mina Nouredanesh, Hamid R. Tizhoosh, Ershad Banijamali, James Tung
2016	J	`jnl`	Semi-Supervised Representation Learning based on Probabilistic Labeling. CoRR Ershad Banijamali, Ali Ghodsi