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Feature Learning

20 directly classified papers

Papers per year

Papers

An LLM Feature-based Framework for Dialogue Constructiveness Assessment EMNLP 2024
Feature learning via mean-field Langevin dynamics: classifying sparse parities and beyond NIPS 2023
STEERER: Resolving Scale Variations for Counting and Localization via Selective Inheritance Learning ICCV 2023
Unsupervised Learning of Group Invariant and Equivariant Representations NIPS 2022
Learning Quality-Aware Representation for Multi-Person Pose Regression AAAI 2022
Patch2Pix: Epipolar-Guided Pixel-Level Correspondences CVPR 2021
Pyramidal Feature Shrinking for Salient Object Detection AAAI 2021
Shape-based Feature Engineering for Solar Flare Prediction AAAI 2021
Beyond Bounding-Box: Convex-Hull Feature Adaptation for Oriented and Densely Packed Object Detection CVPR 2021
(AF)2-S3Net: Attentive Feature Fusion With Adaptive Feature Selection for Sparse Semantic Segmentation Network CVPR 2021
Detecting Interactions from Neural Networks via Topological Analysis NIPS 2020
Measuring Forecasting Skill from Text ACL 2020
HurtBERT: Incorporating Lexical Features with BERT for the Detection of Abusive Language EMNLP 2020
Interaction-Aware Factorization Machines for Recommender Systems AAAI 2019
Learning Deep Context-Aware Features Over Body and Latent Parts for Person Re-Identification CVPR 2017
Compact Bilinear Pooling CVPR 2016
Self-Adaptable Templates for Feature Coding NIPS 2014
BING: Binarized Normed Gradients for Objectness Estimation at 300fps CVPR 2014
Finding Matches in a Haystack: A Max-Pooling Strategy for Graph Matching in the Presence of Outliers CVPR 2014
Learning Invariant Representations of Molecules for Atomization Energy Prediction NIPS 2012