← Learning Types
Deep Learning › Learning Types ›

Representation Learning

4516 directly classified papers

Papers per year

Papers

Learning Dense Feature Matching via Lifting Single 2D Image to 3D Space ICCV 2025
Adversarial Robustness of Discriminative Self-Supervised Learning in Vision ICCV 2025
ConstStyle: Robust Domain Generalization with Unified Style Transformation ICCV 2025
Learning Neural Scene Representation from iToF Imaging ICCV 2025
Enhanced Noun-Noun Compound Interpretation through Textual Enrichment EMNLP 2025
From Image to Video: An Empirical Study of Diffusion Representations ICCV 2025
Learning Trajectories of Figurative Language for Pre-Trained Language Models EMNLP 2025
ATLAS: Decoupling Skeletal and Shape Parameters for Expressive Parametric Human Modeling ICCV 2025
Learning Word Embeddings from Glosses: A Multi-Loss Framework for Arabic Reverse Dictionary Tasks EMNLP 2025
Simple Factuality Probes Detect Hallucinations in Long-Form Natural Language Generation EMNLP 2025
LangVAE and LangSpace: Building and Probing for Language Model VAEs EMNLP 2025
The Strawberry Problem: Emergence of Character-level Understanding in Tokenized Language Models EMNLP 2025
Sparse Autoencoder Features for Classifications and Transferability EMNLP 2025
Improving Rule-based Reasoning in LLMs using Neurosymbolic Representations EMNLP 2025
ThinkSLM: Towards Reasoning in Small Language Models EMNLP 2025
E2LLM: Encoder Elongated Large Language Models for Long-Context Understanding and Reasoning EMNLP 2025
HMoE: Heterogeneous Mixture of Experts for Language Modeling EMNLP 2025
Rank-Awareness and Angular Constraints: A New Perspective on Learning Sentence Embeddings from NLI Data EMNLP 2025
Interpretable Text Embeddings and Text Similarity Explanation: A Survey EMNLP 2025
Pixels Versus Priors: Controlling Knowledge Priors in Vision-Language Models through Visual Counterfacts EMNLP 2025
Steering LVLMs via Sparse Autoencoder for Hallucination Mitigation EMNLP 2025
Breaking the Attention Trap in Code LLMs: A Rejection Sampling Approach to Enhance Code Execution Prediction EMNLP 2025
NL-Debugging: Exploiting Natural Language as an Intermediate Representation for Code Debugging EMNLP 2025
ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement ICCV 2025
What Makes a Good Reasoning Chain? Uncovering Structural Patterns in Long Chain-of-Thought Reasoning EMNLP 2025