← Learning Types
Machine Learning › Learning Types ›

Representation Learning

2843 directly classified papers

Papers per year

Papers

Conditional Language Models for Community-Level Linguistic Variation EMNLP 2022
GiCCS: A German in-Context Conversational Similarity Benchmark EMNLP 2022
Distribution-Based Measures of Surprise for Creative Language: Experiments with Humor and Metaphor EMNLP 2022
Characterizing Verbatim Short-Term Memory in Neural Language Models EMNLP 2022
Periodic Graph Transformers for Crystal Material Property Prediction NIPS 2022
Identifying good directions to escape the NTK regime and efficiently learn low-degree plus sparse polynomials NIPS 2022
Amortized Inference for Causal Structure Learning NIPS 2022
Making Look-Ahead Active Learning Strategies Feasible with Neural Tangent Kernels NIPS 2022
On the Symmetries of Deep Learning Models and their Internal Representations NIPS 2022
Learning Invariant Graph Representations for Out-of-Distribution Generalization NIPS 2022
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning NIPS 2022
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs NIPS 2022
OPEN: Orthogonal Propagation with Ego-Network Modeling NIPS 2022
Deciding What to Model: Value-Equivalent Sampling for Reinforcement Learning NIPS 2022
Feature Learning in $L_2$-regularized DNNs: Attraction/Repulsion and Sparsity NIPS 2022
Optimizing text representations to capture (dis)similarity between political parties EMNLP 2022
Probing Pretrained Models of Source Codes EMNLP 2022
Garden Path Traversal in GPT-2 EMNLP 2022
Explaining Translationese: why are Neural Classifiers Better and what do they Learn? EMNLP 2022
Sparse Interventions in Language Models with Differentiable Masking EMNLP 2022
Improving Scheduled Sampling with Elastic Weight Consolidation for Neural Machine Translation EMNLP 2022
Code Generation From Flowcharts with Texts: A Benchmark Dataset and An Approach EMNLP 2022
BARLE: Background-Aware Representation Learning for Background Shift Out-of-Distribution Detection EMNLP 2022
GNN-encoder: Learning a Dual-encoder Architecture via Graph Neural Networks for Dense Passage Retrieval EMNLP 2022
Improving Faithfulness by Augmenting Negative Summaries from Fake Documents EMNLP 2022