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← Authors

Mehrdad Farajtabar

30 papers · 2013–2026 · 11 conferences · across top CS/AI conferences

Achievements

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+13 more ↓ 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (17) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird
πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (12) πŸ—ΊοΈ Taxonomy Completionist (17) 🧬 Topic Evolution πŸ† Keyword Champion (2) 🀝 Dynamic Duo (11) πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (121) ⚑ Prolific Year (6) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (29) πŸ”₯ Unstoppable (13)

Conferences

NIPS (8) ICML (6) ICLR (5) ACL (2) AISTATS (2) ICCV (2) AAAI (1) CVPR (1) EACL (1) IJCAI (1) JMLR (1)

Top co-authors

Hongyuan Zha (11) Seyed Iman Mirzadeh (8) Oncel Tuzel (7) Le Song (7) Fartash Faghri (5) Hadi Pouransari (5) Sachin Mehta (5) Mohammad Rastegari (4) Raviteja Vemulapalli (4) Ang Li (4)

Keywords

point process (5) hawkes process (5) continual learning (4) social network (4) catastrophic forgetting (4) convex optimization (4) neural network (3) knowledge distillation (3) model compression (2) large language model (2) off-policy evaluation (2) multivariate hawkes process (2) information diffusion (2) temporal point process (2) transfer learning (2) network evolution (2) maximum entropy (1) manifold learning (1) reinforcement learning (1) online learning (1)

Papers

Reasoning’s Razor: Reasoning Improves Accuracy but Hurts Recall at Critical Operating Points in Safety and Hallucination Detection EACL 2026 Proxy-FDA: Proxy-based Feature Distribution Alignment for Fine-tuning Vision Foundation Models without Forgetting ICML 2025 TiC-LM: A Web-Scale Benchmark for Time-Continual LLM Pretraining ACL 2025 GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models ICLR 2025 LLM in a flash: Efficient Large Language Model Inference with Limited Memory ACL 2024 TiC-CLIP: Continual Training of CLIP Models ICLR 2024 ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models ICLR 2024 Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific Models ICML 2024 Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement ICCV 2023 Wide Neural Networks Forget Less Catastrophically ICML 2022 Linear Mode Connectivity in Multitask and Continual Learning ICLR 2021 Orthogonal Gradient Descent for Continual Learning AISTATS 2020 Improved Knowledge Distillation via Teacher Assistant AAAI 2020 Learning to Incentivize Other Learning Agents NIPS 2020 A Maximum-Entropy Approach to Off-Policy Evaluation in Average-Reward MDPs NIPS 2020 Understanding the Role of Training Regimes in Continual Learning NIPS 2020 Self-Distillation Amplifies Regularization in Hilbert Space NIPS 2020 DyRep: Learning Representations over Dynamic Graphs ICLR 2019 Cross-View Policy Learning for Street Navigation ICCV 2019 More Robust Doubly Robust Off-policy Evaluation ICML 2018 Discrete Interventions in Hawkes Processes with Applications in Invasive Species Management IJCAI 2018 COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Evolution JMLR 2017 Fake News Mitigation via Point Process Based Intervention ICML 2017 Wasserstein Learning of Deep Generative Point Process Models NIPS 2017 Learning Granger Causality for Hawkes Processes ICML 2016 Multistage Campaigning in Social Networks NIPS 2016 Back to the Past: Source Identification in Diffusion Networks from Partially Observed Cascades AISTATS 2015 COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution NIPS 2015 Shaping Social Activity by Incentivizing Users NIPS 2014 From Local Similarity to Global Coding: An Application to Image Classification CVPR 2013