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← Learning Types
Deep Learning
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Learning Types
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Representation Learning
4516 directly classified papers
Papers per year
2006: 7
2007: 2
2008: 7
2009: 1
2010: 5
2011: 9
2012: 20
2013: 37
2014: 51
2015: 47
2016: 86
2017: 197
2018: 322
2019: 499
2020: 569
2021: 521
2022: 608
2023: 552
2024: 535
2025: 432
2026: 9
Papers
Transformed Distribution Matching for Missing Value Imputation
ICML 2023
xSIM++: An Improved Proxy to Bitext Mining Performance for Low-Resource Languages
ACL 2023
Unsupervised Binary Code Translation with Application to Code Clone Detection and Vulnerability Discovery
EMNLP 2023
Robust Representation Learning by Clustering with Bisimulation Metrics for Visual Reinforcement Learning with Distractions
AAAI 2023
Learning useful representations for shifting tasks and distributions
ICML 2023
Generic and Dynamic Graph Representation Learning for Crowd Flow Modeling
AAAI 2023
PromptARA: Improving Deep Representation in Hybrid Automatic Readability Assessment with Prompt and Orthogonal Projection
EMNLP 2023
FSUIE: A Novel Fuzzy Span Mechanism for Universal Information Extraction
ACL 2023
Scalable Spatiotemporal Graph Neural Networks
AAAI 2023
Compositional Generalization without Trees using Multiset Tagging and Latent Permutations
ACL 2023
ContraCLM: Contrastive Learning For Causal Language Model
ACL 2023
Are Neurons Actually Collapsed? On the Fine-Grained Structure in Neural Representations
ICML 2023
RobustEmbed: Robust Sentence Embeddings Using Self-Supervised Contrastive Pre-Training
EMNLP 2023
SESCORE2: Learning Text Generation Evaluation via Synthesizing Realistic Mistakes
ACL 2023
Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering
ICML 2023
Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression
ICML 2023
dugMatting: Decomposed-Uncertainty-Guided Matting
ICML 2023
Marginalization is not Marginal: No Bad VAE Local Minima when Learning Optimal Sparse Representations
ICML 2023
Leveraging Sub-class Discimination for Compositional Zero-Shot Learning
AAAI 2023
InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models
ICML 2023
Discrete Key-Value Bottleneck
ICML 2023
Enhancing Personalized Dialogue Generation with Contrastive Latent Variables: Combining Sparse and Dense Persona
ACL 2023
C-NTPP: Learning Cluster-Aware Neural Temporal Point Process
AAAI 2023
Conceptual Reinforcement Learning for Language-Conditioned Tasks
AAAI 2023
Detecting and Mitigating Hallucinations in Machine Translation: Model Internal Workings Alone Do Well, Sentence Similarity Even Better
ACL 2023
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