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Learning Types

56,253 papers (3 classified directly here)

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)
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Papers (including subtopics)

Cryptocurrency Day Trading and Framing Prediction in Microblog Discourse EMNLP 2021 Crystallization Learning with the Delaunay Triangulation ICML 2021 cs60075_team2 at SemEval-2021 Task 1 : Lexical Complexity Prediction using Transformer-based Language Models pre-trained on various text corpora SemEval 2021 CS-BERT: a pretrained model for customer service dialogues EMNLP 2021 CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation NeurIPS 2021 CSECU-DSG at SemEval-2021 Task 1: Fusion of Transformer Models for Lexical Complexity Prediction SemEval 2021 CSGNN: Contrastive Self-Supervised Graph Neural Network for Molecular Interaction Prediction IJCAI 2021 CSG-Stump: A Learning Friendly CSG-Like Representation for Interpretable Shape Parsing ICCV 2021 CS-UM6P at SemEval-2021 Task 7: Deep Multi-Task Learning Model for Detecting and Rating Humor and Offense SemEval 2021 CTAB-GAN: Effective Table Data Synthesizing ACML 2021 CTFN: Hierarchical Learning for Multimodal Sentiment Analysis Using Coupled-Translation Fusion Network ACL 2021 CTS2: Time Series Smoothing with Constrained Reinforcement Learning ACML 2021 CuCo: Graph Representation with Curriculum Contrastive Learning IJCAI 2021 CUNI Systems for WMT21: Terminology Translation Shared Task EMNLP 2021 CUNI Systems in WMT21: Revisiting Backtranslation Techniques for English-Czech NMT EMNLP 2021 Curious Representation Learning for Embodied Intelligence ICCV 2021 Curriculum Design for Teaching via Demonstrations: Theory and Applications NeurIPS 2021 Curriculum Disentangled Recommendation with Noisy Multi-feedback NeurIPS 2021 Curriculum Graph Co-Teaching for Multi-Target Domain Adaptation CVPR 2021 Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning AAAI 2021 Curriculum Learning by Optimizing Learning Dynamics AISTATS 2021 Curriculum Learning for Vision-and-Language Navigation NeurIPS 2021 Curriculum-Meta Learning for Order-Robust Continual Relation Extraction AAAI 2021 cushLEPOR: customising hLEPOR metric using Optuna for higher agreement with human judgments or pre-trained language model LaBSE EMNLP 2021 Cut out the annotator, keep the cutout: better segmentation with weak supervision ICLR 2021