Co-occurring keywords · papers mentioning both
Papers
On the Estimation of Image-matching Uncertainty in Visual Place Recognition
CVPR 2024
Task-recency bias strikes back: Adapting covariances in Exemplar-Free Class Incremental Learning
NeurIPS 2024
Temporally and Distributionally Robust Optimization for Cold-Start Recommendation
AAAI 2024
With a Little Help from Language: Semantic Enhanced Visual Prototype Framework for Few-Shot Learning
IJCAI 2024
A Gift from Label Smoothing: Robust Training with Adaptive Label Smoothing via Auxiliary Classifier under Label Noise
AAAI 2023
Amortised Invariance Learning for Contrastive Self-Supervision
ICLR 2023
CDTA: A Cross-Domain Transfer-Based Attack with Contrastive Learning
AAAI 2023
CoKe: Contrastive Learning for Robust Keypoint Detection
WACV 2023
Compositional Prototypical Networks for Few-Shot Classification
AAAI 2023
Diffusion-based Visual Representation Learning for Medical Question Answering
ACML 2023
Does Continual Learning Meet Compositionality? New Benchmarks and An Evaluation Framework
NeurIPS 2023
Fast and Accurate Transferability Measurement by Evaluating Intra-class Feature Variance
ICCV 2023
FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning
WACV 2023
Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration
NeurIPS 2023
Generative Semi-supervised Learning with Meta-Optimized Synthetic Samples
ACML 2023
Global and Local Mixture Consistency Cumulative Learning for Long-Tailed Visual Recognitions
CVPR 2023
High-Frequency Stereo Matching Network
CVPR 2023
Learning Compact Features via In-Training Representation Alignment
AAAI 2023
LightGlue: Local Feature Matching at Light Speed
ICCV 2023
MetaTPTrans: A Meta Learning Approach for Multilingual Code Representation Learning
AAAI 2023
On the Stability-Plasticity Dilemma of Class-Incremental Learning
CVPR 2023
Proxy Anchor-based Unsupervised Learning for Continuous Generalized Category Discovery
ICCV 2023
Regularizing Neural Networks with Meta-Learning Generative Models
NeurIPS 2023
Suppressing the Heterogeneity: A Strong Feature Extractor for Few-shot Segmentation
ICLR 2023
Teamwork Is Not Always Good: An Empirical Study of Classifier Drift in Class-incremental Information Extraction
ACL 2023