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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)

Aambela at BLP-2023 Task 2: Enhancing BanglaBERT Performance for Bangla Sentiment Analysis Task with In Task Pretraining and Adversarial Weight Perturbation EMNLP 2023 AANG : Automating Auxiliary Learning ICLR 2023 AAST-NLP at ArAIEval Shared Task: Tackling Persuasion technique and Disinformation Detection using Pre-Trained Language Models On Imbalanced Datasets EMNLP 2023 A Bag-of-Prototypes Representation for Dataset-Level Applications CVPR 2023 AbdomenAtlas-8K: Annotating 8,000 CT Volumes for Multi-Organ Segmentation in Three Weeks NeurIPS 2023 Abductive Commonsense Reasoning Exploiting Mutually Exclusive Explanations ACL 2023 Abed at KSAA-RD Shared Task: Enhancing Arabic Word Embedding with Modified BERT Multilingual EMNLP 2023 A Benchmark for Semi-Inductive Link Prediction in Knowledge Graphs EMNLP 2023 A Benchmark on Extremely Weakly Supervised Text Classification: Reconcile Seed Matching and Prompting Approaches ACL 2023 A Blackbox Approach to Best of Both Worlds in Bandits and Beyond COLT 2023 A Black-Box Attack on Code Models via Representation Nearest Neighbor Search EMNLP 2023 A Blessing of Dimensionality in Membership Inference through Regularization AISTATS 2023 Abstractive Summarization for the Ukrainian Language: Multi-Task Learning with Hromadske.ua News Dataset EACL 2023 Abstractive Summarizers are Excellent Extractive Summarizers ACL 2023 A Call for Standardization and Validation of Text Style Transfer Evaluation ACL 2023 A-Cap: Anticipation Captioning With Commonsense Knowledge CVPR 2023 ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imaging ICML 2023 A Causal Framework for Decomposing Spurious Variations NeurIPS 2023 A Causal View of Entity Bias in (Large) Language Models EMNLP 2023 A Cautious Generalization Goes a Long Way: Learning Morphophonological Rules ACL 2023 AC-Band: A Combinatorial Bandit-Based Approach to Algorithm Configuration AAAI 2023 Accelerated Coordinate Encoding: Learning to Relocalize in Minutes Using RGB and Poses CVPR 2023 Accelerating Dataset Distillation via Model Augmentation CVPR 2023 Accelerating Multiple Intent Detection and Slot Filling via Targeted Knowledge Distillation EMNLP 2023 Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration NeurIPS 2023