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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)

Change Is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery ICCV 2021 Change Matters: Medication Change Prediction with Recurrent Residual Networks IJCAI 2021 Changes in European Solidarity Before and During COVID-19: Evidence from a Large Crowd- and Expert-Annotated Twitter Dataset ACL 2021 Changing the Mind of Transformers for Topically-Controllable Language Generation EACL 2021 Channel Augmented Joint Learning for Visible-Infrared Recognition ICCV 2021 Channel-Wise Gated Res2Net: Towards Robust Detection of Synthetic Speech Attacks Interspeech 2021 Character-based PCFG Induction for Modeling the Syntactic Acquisition of Morphologically Rich Languages EMNLP 2021 Characterizing Fairness Over the Set of Good Models Under Selective Labels ICML 2021 Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning NeurIPS 2021 Characterizing the Evasion Attackability of Multi-label Classifiers AAAI 2021 Characterizing the Gap Between Actor-Critic and Policy Gradient ICML 2021 Character Transformations for Non-Autoregressive GEC Tagging EMNLP 2021 Chase: A Large-Scale and Pragmatic Chinese Dataset for Cross-Database Context-Dependent Text-to-SQL ACL 2021 ChemNER: Fine-Grained Chemistry Named Entity Recognition with Ontology-Guided Distant Supervision EMNLP 2021 CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation MIDL 2021 ChicHealth @ MEDIQA 2021: Exploring the limits of pre-trained seq2seq models for medical summarization NAACL 2021 Chinese WPLC: A Chinese Dataset for Evaluating Pretrained Language Models on Word Prediction Given Long-Range Context EMNLP 2021 Chronological Self-Training for Real-Time Speaker Diarization Interspeech 2021 CIDEr-R: Robust Consensus-based Image Description Evaluation EMNLP 2021 CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection ICML 2021 CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction ACL 2021 CIMON: Towards High-quality Hash Codes IJCAI 2021 CIT-GAN: Cyclic Image Translation Generative Adversarial Network With Application in Iris Presentation Attack Detection WACV 2021 Civil Rephrases Of Toxic Texts With Self-Supervised Transformers EACL 2021 CLaC-np at SemEval-2021 Task 8: Dependency DGCNN SemEval 2021