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representation learning

6174 papers

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Also known as

WAV2VEC2.0 RL NRMS NDFS

Co-occurring keywords

contrastive learning (3979) self-supervised learning (3751) transfer learning (5442) neural network (6616) unsupervised learning (3255) graph neural network (3945) multimodal learning (4622) domain adaptation (4578) feature learning (1309) language model (4573)

Papers

Multi-task Representation Learning for Pure Exploration in Bilinear Bandits NIPS 2023
Semi-Supervised Contrastive Learning for Deep Regression with Ordinal Rankings from Spectral Seriation NIPS 2023
Large language models transition from integrating across position-yoked, exponential windows to structure-yoked, power-law windows NIPS 2023
Language Quantized AutoEncoders: Towards Unsupervised Text-Image Alignment NIPS 2023
Model Spider: Learning to Rank Pre-Trained Models Efficiently NIPS 2023
MAViL: Masked Audio-Video Learners NIPS 2023
Three Towers: Flexible Contrastive Learning with Pretrained Image Models NIPS 2023
LEACE: Perfect linear concept erasure in closed form NIPS 2023
Towards a Unified Framework of Contrastive Learning for Disentangled Representations NIPS 2023
Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots NIPS 2023
Learning Summary-Worthy Visual Representation for Abstractive Summarization in Video IJCAI 2023
A Generalized Deep Markov Random Fields Framework for Fake News Detection IJCAI 2023
Rank-N-Contrast: Learning Continuous Representations for Regression NIPS 2023
Rewrite Caption Semantics: Bridging Semantic Gaps for Language-Supervised Semantic Segmentation NIPS 2023
From Chaos Comes Order: Ordering Event Representations for Object Recognition and Detection ICCV 2023
Learning From Noisy Labels With Decoupled Meta Label Purifier CVPR 2023
Drift doesn't Matter: Dynamic Decomposition with Diffusion Reconstruction for Unstable Multivariate Time Series Anomaly Detection NIPS 2023
SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling NIPS 2023
Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive Learning NIPS 2023
Time Series Kernels based on Nonlinear Vector AutoRegressive Delay Embeddings NIPS 2023
Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series NIPS 2023
Ordering-based Conditions for Global Convergence of Policy Gradient Methods NIPS 2023
Stable Cluster Discrimination for Deep Clustering ICCV 2023
Helping Hands: An Object-Aware Ego-Centric Video Recognition Model ICCV 2023
Why Bother with Geometry? On the Relevance of Linear Decompositions of Transformer Embeddings EMNLP 2023