conftrace_
← Core Methods
Machine Learning › Core Methods ›

Representation Learning

18,863 papers

Papers per year

Papers

A Label is Worth A Thousand Images in Dataset Distillation NIPS 2024
Nonparametric Evaluation of Noisy ICA Solutions NIPS 2024
Towards Understanding Evolving Patterns in Sequential Data NIPS 2024
Approximating mutual information of high-dimensional variables using learned representations NIPS 2024
G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering NIPS 2024
Classifier-guided Gradient Modulation for Enhanced Multimodal Learning NIPS 2024
Kernel PCA for Out-of-Distribution Detection NIPS 2024
GV-Rep: A Large-Scale Dataset for Genetic Variant Representation Learning NIPS 2024
Evaluate then Cooperate: Shapley-based View Cooperation Enhancement for Multi-view Clustering NIPS 2024
A Concept-Based Explainability Framework for Large Multimodal Models NIPS 2024
Noether's Razor: Learning Conserved Quantities NIPS 2024
UniGAD: Unifying Multi-level Graph Anomaly Detection NIPS 2024
KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge NIPS 2024
Exploring Consistency in Graph Representations: from Graph Kernels to Graph Neural Networks NIPS 2024
SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image Classification NIPS 2024
Unitary Convolutions for Learning on Graphs and Groups NIPS 2024
Diffusion Imitation from Observation NIPS 2024
Interpreting the Weight Space of Customized Diffusion Models NIPS 2024
Linguistic Collapse: Neural Collapse in (Large) Language Models NIPS 2024
Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure NIPS 2024
Unsupervised Anomaly Detection in The Presence of Missing Values NIPS 2024
Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA NIPS 2024
Unified Guidance for Geometry-Conditioned Molecular Generation NIPS 2024
Fisher Flow Matching for Generative Modeling over Discrete Data NIPS 2024
Fully Distributed, Flexible Compositional Visual Representations via Soft Tensor Products NIPS 2024