Maziar Sanjabi
28 papers · 2017–2026 · 11 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (49) π Conference Polyglot Β· Gold π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Grand Slam
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Dynamic Duo
(13)
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Topic Evolution
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Keyword Pioneer
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Renaissance Researcher
(6)
π₯
Unstoppable Β· Silver
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The Questioner
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Trend Setter
ποΈ
Keyword Collector
(122)
Venues
Top co-authors
Research topics
Machine Learning
(23)
Artificial Intelligence
(19)
Core AI
(15)
Application Areas
(11)
Learning Types Β· Machine Learning
(11)
Deep Learning
(10)
Optimization & Theory
(8)
Learning Paradigms
(6)
Learning Types Β· Deep Learning
(6)
Natural Language Processing
(5)
Core Methods
(5)
Mathematics & Optimization
(3)
Applications
(3)
Architectures
(3)
Optimization
(2)
Keywords
federated learning
(4)
knowledge distillation
(3)
model compression
(3)
multi-task learning
(2)
non-convex optimization
(2)
in-context learning
(2)
class imbalance
(2)
convergence analysis
(2)
differential privacy
(2)
distributed optimization
(2)
multimodal learning
(2)
rationale extraction
(2)
tilted empirical risk minimization
(2)
large language model
(2)
vision-language model
(2)
text classification
(2)
self-supervised learning
(2)
transfer learning
(1)
data poisoning
(1)
representation learning
(1)
Papers
To Think or Not to Think: The Hidden Cost of Meta-Training with Excessive CoT Examples
ACL 2026
CoT-ICL Lab: A Synthetic Framework for Studying Chain-of-Thought Learning from In-Context Demonstrations
ACL 2025
Differentially Private Representation Learning via Image Captioning
ICML 2024
Distilling Knowledge from Text-to-Image Generative Models Improves Visio-Linguistic Reasoning in CLIP
EMNLP 2024
Measuring Self-Supervised Representation Quality for Downstream Classification Using Discriminative Features
AAAI 2024
RESPROMPT: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models
NAACL 2024
Text-to-Sticker: Style Tailoring Latent Diffusion Models for Human Expression
ECCV 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
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation
EMNLP 2023
Defending Against Patch-Based Backdoor Attacks on Self-Supervised Learning
CVPR 2023
Identifying Interpretable Subspaces in Image Representations
ICML 2023
On Tilted Losses in Machine Learning: Theory and Applications
JMLR 2023
Text-To-Concept (and Back) via Cross-Model Alignment
ICML 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
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
ACL 2022
UNIREX: A Unified Learning Framework for Language Model Rationale Extraction
ICML 2022
Alternating Direction Method of Multipliers for Quantization
AISTATS 2021
Modality-specific Distillation
NAACL 2021
MSD: Saliency-aware Knowledge Distillation for Multimodal Understanding
EMNLP 2021
Tilted Empirical Risk Minimization
ICLR 2021
Fair Resource Allocation in Federated Learning
ICLR 2020
Solving a Class of Non-Convex Min-Max Games Using Iterative First Order Methods
NeurIPS 2019
On the Convergence and Robustness of Training GANs with Regularized Optimal Transport
NeurIPS 2018
Federated Multi-Task Learning
NeurIPS 2017