Sayna Ebrahimi
17 papers · 2017–2025 · 11 conferences · across top CS/AI conferences
Achievements
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🌍 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
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