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Feature Learning
60 directly classified papers
Papers per year
2006: 1
2007: 2
2008: 1
2010: 2
2012: 2
2013: 2
2014: 3
2015: 1
2016: 1
2017: 1
2018: 6
2019: 2
2020: 12
2021: 9
2022: 4
2023: 4
2024: 5
2025: 2
Papers
Structured IB: Improving Information Bottleneck with Structured Feature Learning
AAAI 2025
Evolutionary Large Language Model for Automated Feature Transformation
AAAI 2025
A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data
NIPS 2024
Exploiting Careful Design of SVM Solution for Aspect-term Sentiment Analysis
EMNLP 2024
QAGait: Revisit Gait Recognition from a Quality Perspective
AAAI 2024
Learning Intra-Class Multimodal Distributions With Orthonormal Matrices
WACV 2024
Daisy at WASSA 2024 Empathy and Personality Shared Task: A Quick Exploration on Emotional Pattern of Empathy and Distress
ACL 2024
Practical Markov Boundary Learning without Strong Assumptions
AAAI 2023
MTANet: Multi-band Time-frequency Attention Network for Singing Melody Extraction from Polyphonic Music
INTERSPEECH 2023
Mandarin classifier systems optimize to accommodate communicative pressures
EMNLP 2023
Learning Transformation-Predictive Representations for Detection and Description of Local Features
CVPR 2023
Composite Feature Selection Using Deep Ensembles
NIPS 2022
Clothes-Changing Person Re-Identification With RGB Modality Only
CVPR 2022
WeightedSHAP: analyzing and improving Shapley based feature attributions
NIPS 2022
Competing Mutual Information Constraints with Stochastic Competition-Based Activations for Learning Diversified Representations
AAAI 2022
If You Like Shapley Then You’ll Love the Core
AAAI 2021
UMUTeam at SemEval-2021 Task 7: Detecting and Rating Humor and Offense with Linguistic Features and Word Embeddings
ACL 2021
Multiple Object Tracking With Correlation Learning
CVPR 2021
Efficient Multi-Task Auxiliary Learning: Selecting Auxiliary Data by Feature Similarity
EMNLP 2021
Deep Texture Recognition via Exploiting Cross-Layer Statistical Self-Similarity
CVPR 2021
Physics-constrained Automatic Feature Engineering for Predictive Modeling in Materials Science
AAAI 2021
Idiosyncratic but not Arbitrary: Learning Idiolects in Online Registers Reveals Distinctive yet Consistent Individual Styles
EMNLP 2021
Learning Feature Weights using Reward Modeling for Denoising Parallel Corpora
EMNLP 2021
Sliced Mutual Information: A Scalable Measure of Statistical Dependence
NIPS 2021
Progressive Feature Polishing Network for Salient Object Detection
AAAI 2020
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