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Learning Types

56,254 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 (1,984) 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)

Improving Neural Machine Translation Formality Control with Domain Adaptation and Reranking-based Transductive Learning ACL 2023 Improving Object-centric Learning with Query Optimization ICLR 2023 Improving Pacing in Long-Form Story Planning EMNLP 2023 Improving Pixel-based MIM by Reducing Wasted Modeling Capability ICCV 2023 Improving Pixel-Level Contrastive Learning by Leveraging Exogenous Depth Information WACV 2023 Improving Predicate Representation in Scene Graph Generation by Self-Supervised Learning WACV 2023 Improving Radiology Summarization with Radiograph and Anatomy Prompts ACL 2023 Improving Reading Comprehension Question Generation with Data Augmentation and Overgenerate-and-rank ACL 2023 Improving Representation Learning for Histopathologic Images with Cluster Constraints ICCV 2023 Improving Robotic Tactile Localization Super-resolution via Spatiotemporal Continuity Learning and Overlapping Air Chambers AAAI 2023 Improving Robust Fariness via Balance Adversarial Training AAAI 2023 Improving Robustness of Vision Transformers by Reducing Sensitivity To Patch Corruptions CVPR 2023 Improving Selective Visual Question Answering by Learning From Your Peers CVPR 2023 Improving Self-supervised Molecular Representation Learning using Persistent Homology NeurIPS 2023 Improving Self-training for Cross-lingual Named Entity Recognition with Contrastive and Prototype Learning ACL 2023 Improving Seq2Seq Grammatical Error Correction via Decoding Interventions EMNLP 2023 Improving Sequential Model Editing with Fact Retrieval EMNLP 2023 Improving Small Footprint Few-shot Keyword Spotting with Supervision on Auxiliary Data Interspeech 2023 Improving Speaker Verification with Self-Pretrained Transformer Models Interspeech 2023 Improving Speech Translation by Fusing Speech and Text EMNLP 2023 Improving Summarization with Human Edits EMNLP 2023 Improving Textless Spoken Language Understanding with Discrete Units as Intermediate Target Interspeech 2023 Improving the Cross-Lingual Generalisation in Visual Question Answering AAAI 2023 Improving the Robustness of Summarization Models by Detecting and Removing Input Noise EMNLP 2023 Improving the Robustness of Summarization Systems with Dual Augmentation ACL 2023