Malik Boudiaf
14 papers · 2020–2024 · 6 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (5) π§ Keyword Pioneer π Conference Polyglot (6) π Cross-Pollinator (13) π Interdisciplinary Bridge
π§
Keyword Pioneer
π
Conference Polyglot
(6)
π
Century Club
(14)
ποΈ
Keyword Collector
(61)
β
The Questioner
π₯
Unstoppable
(5)
Conferences
CVPR (5)
NIPS (4)
ICML (2)
ECCV (1)
EMNLP (1)
WACV (1)
Top co-authors
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
SaulLM-54B & SaulLM-141B: Scaling Up Domain Adaptation for the Legal Domain
NIPS 2024
Bag of Tricks for Fully Test-Time Adaptation
WACV 2024
LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP
CVPR 2024
A Strong Baseline for Generalized Few-Shot Semantic Segmentation
CVPR 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
In Search for a Generalizable Method for Source Free Domain Adaptation
ICML 2023
Parameter-Free Online Test-Time Adaptation
CVPR 2022
Towards Practical Few-shot Query Sets: Transductive Minimum Description Length Inference
NIPS 2022
A Differential Entropy Estimator for Training Neural Networks
ICML 2022
Realistic evaluation of transductive few-shot learning
NIPS 2021
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need?
CVPR 2021
Information Maximization for Few-Shot Learning
NIPS 2020
A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses
ECCV 2020