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Representation Learning

18863 directly classified papers

Papers per year

Papers

Unveiling Intrinsic Dimension of Texts: from Academic Abstract to Creative Story EACL 2026
DisGraph-RP: Graph-Augmented Temporal Modeling with Aspect-Based Contrastive Encoding of Discharge Summary for Readmission Prediction EACL 2026
Representation Collapse in Machine Translation Through the Lens of Angular Dispersion EACL 2026
Statistical Semantic Change Detection via Usage Similarities EACL 2026
A Subword Embedding Approach for Variation Detection in Luxembourgish User Comments EACL 2026
Teaching NLP in the AI Era: Experiences from the University of Latvia EACL 2026
Negative-Aware Diffusion Process for Temporal Knowledge Graph Extrapolation EACL 2026
Aligning Text, Code, and Vision: A Multi-Objective Reinforcement Learning Framework for Text-to-Visualization EACL 2026
Learning to Ideate for Machine Learning Engineering Agents EACL 2026
Detecting Subtle Sense Shift with Polysemy-Aware Trends EACL 2026
ReBPE: Iteratively Improving the Internal Structure of a Structured Tokeniser by Mining its Internal Structure EACL 2026
Topology-Enhanced and Label Correlation-Aware Model for Protein-Protein Interaction Prediction AAAI 2026
Revisiting the Canonicalization for Fast and Accurate Crystal Tensor Property Prediction AAAI 2026
PLA-MGRA: Multi-Granularity and Relation-Aware Learning for Efficient and Generalizable Protein-Ligand Binding Affinity Prediction AAAI 2026
DynamicRTL: RTL Representation Learning for Dynamic Circuit Behavior AAAI 2026
De Novo Molecular Generation from Mass Spectra via Many-Body Enhanced Diffusion AAAI 2026
Learning Protein–Ligand Binding in Hyperbolic Space AAAI 2026
MMPG: MoE-based Adaptive Multi-Perspective Graph Fusion for Protein Representation Learning AAAI 2026
Investigating Data Pruning for Pretraining Biological Foundation Models at Scale AAAI 2026
Domain-Aware Multi-View Contrastive Representation Learning for Protein Subcellular Localization Prediction AAAI 2026
Wi-CBR: Salient-aware Adaptive WiFi Sensing for Cross-domain Behavior Recognition AAAI 2026
A Network of Biologically Inspired Rectified Spectral Units (ReSUs) Learns Hierarchical Features Without Error Backpropagation AAAI 2026
Invariant Representation Learning for Memory Behavior Modeling via Adaptive Environment Separation AAAI 2026
Learning Compact Latent Space for Representing Neural Signed Distance Functions with High-fidelity Geometry Details AAAI 2026
DHMRec: Collaboration-Guided Multimodal Disentanglement and Hierarchical Fusion for Recommendation AAAI 2026