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representation learning

6206 papers

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Also known as

RL

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contrastive learning (4032) self-supervised learning (3777) transfer learning (5449) neural network (6616) unsupervised learning (3264) graph neural network (3962) multimodal learning (4645) domain adaptation (4595) feature learning (1311) language model (4599)

Papers

Parameter Symmetry and Noise Equilibrium of Stochastic Gradient Descent NIPS 2024
CricaVPR: Cross-image Correlation-aware Representation Learning for Visual Place Recognition CVPR 2024
PTM-VQA: Efficient Video Quality Assessment Leveraging Diverse PreTrained Models from the Wild CVPR 2024
ULIP-2: Towards Scalable Multimodal Pre-training for 3D Understanding CVPR 2024
Cognitive Information Bottleneck: Extracting Minimal Sufficient Cognitive Language Processing Signals COLING 2024
DET: A Dual-Encoding Transformer for Relational Graph Embedding COLING 2024
What Has LeBenchmark Learnt about French Syntax? COLING 2024
Extending Multi-modal Contrastive Representations NIPS 2024
Trainable Hard Negative Examples in Contrastive Learning for Unsupervised Abstractive Summarization EACL 2024
BootTOD: Bootstrap Task-oriented Dialogue Representations by Aligning Diverse Responses COLING 2024
Beyond Canonical Fine-tuning: Leveraging Hybrid Multi-Layer Pooled Representations of BERT for Automated Essay Scoring COLING 2024
Learning Infinitesimal Generators of Continuous Symmetries from Data NIPS 2024
Flexible mapping of abstract domains by grid cells via self-supervised extraction and projection of generalized velocity signals NIPS 2024
Multi-Scale Video Anomaly Detection by Multi-Grained Spatio-Temporal Representation Learning CVPR 2024
FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic Model NIPS 2024
Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE) NIPS 2024
Learning Disentangled Representations for Perceptual Point Cloud Quality Assessment via Mutual Information Minimization NIPS 2024
Speakers Unembedded: Embedding-free Approach to Long-form Neural Diarization INTERSPEECH 2024
Pretrained Transformer Efficiently Learns Low-Dimensional Target Functions In-Context NIPS 2024
Transformers Represent Belief State Geometry in their Residual Stream NIPS 2024
Improving Unsupervised Hierarchical Representation with Reinforcement Learning CVPR 2024
Continual Learning with Global Alignment NIPS 2024
Understanding Visual Feature Reliance through the Lens of Complexity NIPS 2024
Mitigating Noisy Correspondence by Geometrical Structure Consistency Learning CVPR 2024
Towards Progressive Multi-Frequency Representation for Image Warping CVPR 2024