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Representation Learning
401 directly classified papers
Papers per year
2007: 1
2008: 1
2009: 1
2010: 2
2011: 2
2013: 6
2014: 4
2015: 4
2016: 5
2017: 11
2018: 28
2019: 43
2020: 39
2021: 55
2022: 49
2023: 53
2024: 40
2025: 56
2026: 1
Papers
Test Harder than You Train: Probing with Extrapolation Splits
EMNLP 2021
Variation and generality in encoding of syntactic anomaly information in sentence embeddings
EMNLP 2021
What BERT Based Language Model Learns in Spoken Transcripts: An Empirical Study
EMNLP 2021
Not All Models Localize Linguistic Knowledge in the Same Place: A Layer-wise Probing on BERToids’ Representations
EMNLP 2021
Exploring BERT’s Sensitivity to Lexical Cues using Tests from Semantic Priming
EMNLP 2020
Layout-Aware Text Representations Harm Clustering Documents by Type
EMNLP 2020
Metaphor Detection using Context and Concreteness
ACL 2020
Obtaining Faithful Interpretations from Compositional Neural Networks
ACL 2020
Interpreting Pretrained Contextualized Representations via Reductions to Static Embeddings
ACL 2020
Generative Semantic Hashing Enhanced via Boltzmann Machines
ACL 2020
Revisiting Bilinear Pooling: A Coding Perspective
AAAI 2020
Rare Words: A Major Problem for Contextualized Embeddings and How to Fix it by Attentive Mimicking
AAAI 2020
Interpretable Entity Representations through Large-Scale Typing
EMNLP 2020
Contextual and Non-Contextual Word Embeddings: an in-depth Linguistic Investigation
ACL 2020
Achieving Robustness in the Wild via Adversarial Mixing With Disentangled Representations
CVPR 2020
Deep Grouping Model for Unified Perceptual Parsing
CVPR 2020
DNU: Deep Non-Local Unrolling for Computational Spectral Imaging
CVPR 2020
A Disentangling Invertible Interpretation Network for Explaining Latent Representations
CVPR 2020
Towards Global Explanations of Convolutional Neural Networks With Concept Attribution
CVPR 2020
Steering Self-Supervised Feature Learning Beyond Local Pixel Statistics
CVPR 2020
Warp to the Future: Joint Forecasting of Features and Feature Motion
CVPR 2020
Weak Form Generalized Hamiltonian Learning
NIPS 2020
Look-Into-Object: Self-Supervised Structure Modeling for Object Recognition
CVPR 2020
Self-Supervised Learning of Video-Induced Visual Invariances
CVPR 2020
A Shared-Private Representation Model with Coarse-to-Fine Extraction for Target Sentiment Analysis
EMNLP 2020
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