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Methodology
← Learning Types
Machine Learning
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Representation Learning
2843 directly classified papers
Papers per year
2002: 1
2005: 2
2006: 5
2007: 11
2008: 12
2009: 10
2010: 6
2011: 6
2012: 30
2013: 36
2014: 34
2015: 20
2016: 42
2017: 82
2018: 128
2019: 189
2020: 266
2021: 279
2022: 382
2023: 358
2024: 451
2025: 486
2026: 7
Papers
Encoding and Fusing Semantic Connection and Linguistic Evidence for Implicit Discourse Relation Recognition
ACL 2022
Does BERT really agree ? Fine-grained Analysis of Lexical Dependence on a Syntactic Task
ACL 2022
Training Dynamics for Text Summarization Models
ACL 2022
Enhancing Natural Language Representation with Large-Scale Out-of-Domain Commonsense
ACL 2022
An Isotropy Analysis in the Multilingual BERT Embedding Space
ACL 2022
Sememe Prediction for BabelNet Synsets using Multilingual and Multimodal Information
ACL 2022
“Is Whole Word Masking Always Better for Chinese BERT?”: Probing on Chinese Grammatical Error Correction
ACL 2022
Flexible Generation from Fragmentary Linguistic Input
ACL 2022
Learning to Generate Programs for Table Fact Verification via Structure-Aware Semantic Parsing
ACL 2022
A Rationale-Centric Framework for Human-in-the-loop Machine Learning
ACL 2022
Word Order Does Matter and Shuffled Language Models Know It
ACL 2022
Inducing Positive Perspectives with Text Reframing
ACL 2022
Multilingual Molecular Representation Learning via Contrastive Pre-training
ACL 2022
Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization
ACL 2022
Improving Event Representation via Simultaneous Weakly Supervised Contrastive Learning and Clustering
ACL 2022
Metaphors in Pre-Trained Language Models: Probing and Generalization Across Datasets and Languages
ACL 2022
Answering Open-Domain Multi-Answer Questions via a Recall-then-Verify Framework
ACL 2022
Leveraging Similar Users for Personalized Language Modeling with Limited Data
ACL 2022
Residual Skill Policies: Learning an Adaptable Skill-based Action Space for Reinforcement Learning for Robotics
CORL 2022
Recurrent Convolutional Neural Networks Learn Succinct Learning Algorithms
NIPS 2022
Exploring evolution-aware & -free protein language models as protein function predictors
NIPS 2022
FedSR: A Simple and Effective Domain Generalization Method for Federated Learning
NIPS 2022
Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules
NIPS 2022
High-dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation
NIPS 2022
Learning Representations via a Robust Behavioral Metric for Deep Reinforcement Learning
NIPS 2022
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