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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)

Bilinear Exponential Family of MDPs: Frequentist Regret Bound with Tractable Exploration & Planning AAAI 2023 Billy-Batson at SemEval-2023 Task 5: An Information Condensation based System for Clickbait Spoiling SemEval 2023 Binary Classification with Confidence Difference NeurIPS 2023 BioFEG: Generate Latent Features for Biomedical Entity Linking EMNLP 2023 Biomedical Named Entity Recognition via Dictionary-based Synonym Generalization EMNLP 2023 BioPlanner: Automatic Evaluation of LLMs on Protocol Planning in Biology EMNLP 2023 BIOptimus: Pre-training an Optimal Biomedical Language Model with Curriculum Learning for Named Entity Recognition ACL 2023 BioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associations EMNLP 2023 BIOT: Biosignal Transformer for Cross-data Learning in the Wild NeurIPS 2023 Bipartite Graph Pre-training for Unsupervised Extractive Summarization with Graph Convolutional Auto-Encoders EMNLP 2023 BIRD: Generalizable Backdoor Detection and Removal for Deep Reinforcement Learning NeurIPS 2023 Birds of an odd feather: guaranteed out-of-distribution (OOD) novel category detection UAI 2023 BirdSoundsDenoising: Deep Visual Audio Denoising for Bird Sounds WACV 2023 BiRDy: Bullying Role Detection in Multi-Party Chats AAAI 2023 BiRT: Bio-inspired Replay in Vision Transformers for Continual Learning ICML 2023 Birth of a Transformer: A Memory Viewpoint NeurIPS 2023 BiSLS/SPS: Auto-tune Step Sizes for Stable Bi-level Optimization NeurIPS 2023 BiSPN: Generating Entity Set and Relation Set Coherently in One Pass EMNLP 2023 BITE: Textual Backdoor Attacks with Iterative Trigger Injection ACL 2023 Bitrate-Constrained DRO: Beyond Worst Case Robustness To Unknown Group Shifts ICLR 2023 BKinD-3D: Self-Supervised 3D Keypoint Discovery From Multi-View Videos CVPR 2023 Blackbird language matrices (BLM), a new task for rule-like generalization in neural networks: Can Large Language Models pass the test? EMNLP 2023 Black-Box Adversarial Attack on Time Series Classification AAAI 2023 Black-box Backdoor Defense via Zero-shot Image Purification NeurIPS 2023 Black-Box Data Poisoning Attacks on Crowdsourcing IJCAI 2023