← Learning Types
Machine Learning › Learning Types ›

Representation Learning

2843 directly classified papers

Papers per year

Papers

ImageGem: In-the-wild Generative Image Interaction Dataset for Generative Model Personalization ICCV 2025
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning CVPR 2025
Contrastive Flow Matching ICCV 2025
Self-Explainable Graph Transformer for Link Sign Prediction AAAI 2025
Co-Evolving LLMs and Embedding Models via Density-Guided Preference Optimization for Text Clustering EMNLP 2025
SAUCE: Selective Concept Unlearning in Vision-Language Models with Sparse Autoencoders ICCV 2025
Learning conditional distributions on continuous spaces JMLR 2025
RAW-Diffusion: RGB-Guided Diffusion Models for High-Fidelity RAW Image Generation WACV 2025
Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video ICCV 2025
Tokenization is Sensitive to Language Variation ACL 2025
Pretrained Reversible Generation as Unsupervised Visual Representation Learning ICCV 2025
Representation-driven Option Discovery in Reinforcement Learning AAAI 2025
Disentangled World Models: Learning to Transfer Semantic Knowledge from Distracting Videos for Reinforcement Learning ICCV 2025
Hierarchical Attention Generates Better Proofs ACL 2025
Impartial Multi-task Representation Learning via Variance-invariant Probabilistic Decoding ACL 2025
BIG5-CHAT: Shaping LLM Personalities Through Training on Human-Grounded Data ACL 2025
Multi-Attribute Steering of Language Models via Targeted Intervention ACL 2025
Neuron Empirical Gradient: Discovering and Quantifying Neurons’ Global Linear Controllability ACL 2025
Proxy-Driven Robust Multimodal Sentiment Analysis with Incomplete Data ACL 2025
Tracing and Dissecting How LLMs Recall Factual Knowledge for Real World Questions ACL 2025
I3D-AE-LSTM: A 2-Stream Autoencoder for Action Quality Assessment using a Newly Created Cricket Batsman Video Dataset WACV 2025
GRaMPa: Subword Regularisation by Skewing Uniform Segmentation Distributions with an Efficient Path-counting Markov Model ACL 2025
Language Models Grow Less Humanlike beyond Phase Transition ACL 2025
LogicPro: Improving Complex Logical Reasoning via Program-Guided Learning ACL 2025
RD-DPP: Rate-Distortion Theory Meets Determinantal Point Process to Diversify Learning Data Samples WACV 2025