← Authors

Maziar Sanjabi

27 papers · 2017–2025 · 11 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (12) 🧭 Keyword Pioneer 🌍 Conference Polyglot (11) πŸƒ Academic Marathon (8) 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (8) 🀝 Dynamic Duo (12) 🧬 Topic Evolution πŸ† Grand Slam πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (103) πŸ’Ž Century Club (27) πŸ”₯ Unstoppable (9) ❓ The Questioner ⚑ Prolific Year (5)

Conferences

ICML (7) EMNLP (4) ACL (3) ICLR (3) NIPS (3) NAACL (2) AAAI (1) AISTATS (1) CVPR (1) ECCV (1) JMLR (1)

Top co-authors

Hamed Firooz (12) Shaoliang Nie (7) Xiang Ren (5) Liang Tan (5) Aaron Chan (4) Soheil Feizi (4) Virginia Smith (4) Qifan Wang (3) Tian Li (3) Chuan Guo (3)

Research topics

Privacy (1)

Keywords

model compression (3) knowledge distillation (3) federated learning (2) multi-task learning (2) text classification (2) multimodal learning (2) vision-language model (2) rationale extraction (2) self-supervised learning (2) convergence analysis (2) image classification (1) data poisoning (1) transfer learning (1) non-convex optimization (1) model quantization (1) nonconvex optimization (1) entity linking (1) differential privacy (1) in-context learning (1) adversarial learning (1)

Papers

CoT-ICL Lab: A Synthetic Framework for Studying Chain-of-Thought Learning from In-Context Demonstrations ACL 2025
RESPROMPT: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models NAACL 2024
Measuring Self-Supervised Representation Quality for Downstream Classification Using Discriminative Features AAAI 2024
Text-to-Sticker: Style Tailoring Latent Diffusion Models for Human Expression ECCV 2024
Distilling Knowledge from Text-to-Image Generative Models Improves Visio-Linguistic Reasoning in CLIP EMNLP 2024
Differentially Private Representation Learning via Image Captioning ICML 2024
ViP: A Differentially Private Foundation Model for Computer Vision ICML 2024
Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From Fano ICML 2023
Identifying Interpretable Subspaces in Image Representations ICML 2023
Text-To-Concept (and Back) via Cross-Model Alignment ICML 2023
Defending Against Patch-Based Backdoor Attacks on Self-Supervised Learning CVPR 2023
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation EMNLP 2023
On Tilted Losses in Machine Learning: Theory and Applications JMLR 2023
Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning ICLR 2023
Detection, Disambiguation, Re-ranking: Autoregressive Entity Linking as a Multi-Task Problem ACL 2022
UNIREX: A Unified Learning Framework for Language Model Rationale Extraction ACL 2022
ER-Test: Evaluating Explanation Regularization Methods for Language Models EMNLP 2022
Federated Learning with Partial Model Personalization ICML 2022
UNIREX: A Unified Learning Framework for Language Model Rationale Extraction ICML 2022
Alternating Direction Method of Multipliers for Quantization AISTATS 2021
MSD: Saliency-aware Knowledge Distillation for Multimodal Understanding EMNLP 2021
Tilted Empirical Risk Minimization ICLR 2021
Modality-specific Distillation NAACL 2021
Fair Resource Allocation in Federated Learning ICLR 2020
Solving a Class of Non-Convex Min-Max Games Using Iterative First Order Methods NIPS 2019
On the Convergence and Robustness of Training GANs with Regularized Optimal Transport NIPS 2018
Federated Multi-Task Learning NIPS 2017