Sayna Ebrahimi

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

Achievements

+8 more ↓

🌍 Conference Polyglot (11) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🏃 Academic Marathon (8)

🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🤝 Dynamic Duo (10) 🗃️ Keyword Collector (52) 🚀 Conference Pioneer 📈 Trend Setter 💎 Century Club (17) 🔥 Unstoppable (7)

Conferences

ICLR (4) CVPR (2) ECCV (2) ICCV (2) ACL (1) CORL (1) EMNLP (1) ICML (1) NAACL (1) NIPS (1) WACV (1)

Top co-authors

Trevor Darrell (10) Tomas Pfister (6) Zifeng Wang (3) Marcus Rohrbach (3) Chen-Yu Lee (3) Sercan Arik (2) Devin Guillory (2) Vincent Perot (2) Samarth Sinha (2) Hamid Palangi (2)

Keywords

domain adaptation (4) large language model (3) latent space (2) distribution shift (2) transfer learning (2) test-time adaptation (2) variational autoencoder (2) semi-supervised learning (1) adversarial learning (1) representation learning (1) imitation learning (1) em algorithm (1) uncertainty quantification (1) model calibration (1) zero-shot learning (1) text generation (1) question answering (1) few-shot learning (1) autonomous driving (1) knowledge distillation (1)

Papers

Mitigating Object Hallucination in MLLMs via Data-augmented Phrase-level Alignment ICLR 2025 Reverse Thinking Makes LLMs Stronger Reasoners NAACL 2025 Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence ICML 2025 TextGenSHAP: Scalable Post-Hoc Explanations in Text Generation with Long Documents ACL 2024 Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs EMNLP 2023 Beyond Invariance: Test-Time Label-Shift Adaptation for Addressing "Spurious" Correlations NIPS 2023 Self-Supervised Pretraining Improves Self-Supervised Pretraining WACV 2022 Contrastive Test-Time Adaptation CVPR 2022 DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning ECCV 2022 Differentiable Gradient Sampling for Learning Implicit 3D Scene Reconstructions from a Single Image ICLR 2022 Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting ICLR 2021 Predicting With Confidence on Unseen Distributions ICCV 2021 Adversarial Continual Learning ECCV 2020 Uncertainty-guided Continual Learning with Bayesian Neural Networks ICLR 2020 Variational Adversarial Active Learning ICCV 2019 Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders CVPR 2019 Gradient-free Policy Architecture Search and Adaptation CORL 2017