conftrace_
← Learning Types
Deep Learning › Learning Types ›

Representation Learning

4,516 papers

Papers per year

Papers

Adaptive Label Smoothing with Self-Knowledge in Natural Language Generation EMNLP 2022
Kernel-Whitening: Overcome Dataset Bias with Isotropic Sentence Embedding EMNLP 2022
GammaE: Gamma Embeddings for Logical Queries on Knowledge Graphs EMNLP 2022
Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives AAAI 2022
Learning Disentangled Attribute Representations for Robust Pedestrian Attribute Recognition AAAI 2022
A Repetitive Spectrum Learning Framework for Monaural Speech Enhancement in Extremely Low SNR Environments (Student Abstract) AAAI 2022
Shrinking Temporal Attention in Transformers for Video Action Recognition AAAI 2022
Open World Classification with Adaptive Negative Samples EMNLP 2022
IsoVec: Controlling the Relative Isomorphism of Word Embedding Spaces EMNLP 2022
Towards Robust k-Nearest-Neighbor Machine Translation EMNLP 2022
SimMIM: A Simple Framework for Masked Image Modeling CVPR 2022
A Robust Bias Mitigation Procedure Based on the Stereotype Content Model EMNLP 2022
Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples AAAI 2022
Interact, Embed, and EnlargE: Boosting Modality-Specific Representations for Multi-Modal Person Re-identification AAAI 2022
Exploiting Invariance in Training Deep Neural Networks AAAI 2022
DIRL: Domain-Invariant Representation Learning for Generalizable Semantic Segmentation AAAI 2022
A Vocabulary-Free Multilingual Neural Tokenizer for End-to-End Task Learning ACL 2022
Long Text Generation with Topic-aware Discrete Latent Variable Model EMNLP 2022
Automatic Scene-based Topic Channel Construction System for E-Commerce EMNLP 2022
Multi-Vector Models with Textual Guidance for Fine-Grained Scientific Document Similarity NAACL 2022
StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in Texts AAAI 2022
HEGEL: Hypergraph Transformer for Long Document Summarization EMNLP 2022
Fine-Tuning Pre-trained Transformers into Decaying Fast Weights EMNLP 2022
Being Friends Instead of Adversaries: Deep Networks Learn from Data Simplified by Other Networks AAAI 2022
Frequency-Aware Contrastive Learning for Neural Machine Translation AAAI 2022