Malik Boudiaf
14 papers · 2020–2024 · 6 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (21) 🗃️ Keyword Collector (60)
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Century Club · Bronze
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The Questioner
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Research topics
Machine Learning
(11)
Artificial Intelligence
(7)
Learning Paradigms
(7)
Learning Types · Machine Learning
(7)
Application Areas
(5)
Optimization & Theory · Machine Learning
(4)
Deep Learning
(3)
Computer Vision
(2)
Natural Language Processing
(2)
Analysis
(2)
Core Methods
(2)
Learning Types · Deep Learning
(2)
Applications
(1)
Optimization & Theory · Deep Learning
(1)
Resources & Methods
(1)
Keywords
few-shot learning
(8)
transductive inference
(6)
mutual information
(4)
domain adaptation
(3)
semantic segmentation
(2)
test-time adaptation
(2)
transductive learning
(1)
text classification
(1)
online learning
(1)
convex optimization
(1)
entropy minimization
(1)
information bottleneck
(1)
neural network training
(1)
model calibration
(1)
batch normalization
(1)
preference alignment
(1)
knowledge distillation
(1)
source-free domain adaptation
(1)
domain generalization
(1)
semi-supervised learning
(1)
Papers
Bag of Tricks for Fully Test-Time Adaptation
WACV 2024
LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP
CVPR 2024
SaulLM-54B & SaulLM-141B: Scaling Up Domain Adaptation for the Legal Domain
NeurIPS 2024
A Strong Baseline for Generalized Few-Shot Semantic Segmentation
CVPR 2023
In Search for a Generalizable Method for Source Free Domain Adaptation
ICML 2023
Open-Set Likelihood Maximization for Few-Shot Learning
CVPR 2023
Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models
EMNLP 2023
A Differential Entropy Estimator for Training Neural Networks
ICML 2022
Parameter-Free Online Test-Time Adaptation
CVPR 2022
Towards Practical Few-shot Query Sets: Transductive Minimum Description Length Inference
NeurIPS 2022
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need?
CVPR 2021
Realistic evaluation of transductive few-shot learning
NeurIPS 2021
A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses
ECCV 2020
Information Maximization for Few-Shot Learning
NeurIPS 2020