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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)

Assessing Logical Puzzle Solving in Large Language Models: Insights from a Minesweeper Case Study NAACL 2024 Assessing Neural Network Robustness via Adversarial Pivotal Tuning WACV 2024 Assessing News Thumbnail Representativeness: Counterfactual text can enhance the cross-modal matching ability ACL 2024 Assessing the Effectiveness of GPT-4o in Climate Change Evidence Synthesis and Systematic Assessments: Preliminary Insights ACL 2024 Assessing the Significance of Encoded Information in Contextualized Representations to Word Sense Disambiguation EACL 2024 AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks? EMNLP 2024 Assisting Breastfeeding and Maternity Experts in Responding to User Queries with an AI-in-the-loop Approach EMNLP 2024 Assist Is Just As Important as the Goal: Image Resurfacing To Aid Model's Robust Prediction WACV 2024 Assouad, Fano, and Le Cam with Interaction: A Unifying Lower Bound Framework and Characterization for Bandit Learnability NeurIPS 2024 A Structure-Aware Framework for Learning Device Placements on Computation Graphs NeurIPS 2024 AST-T5: Structure-Aware Pretraining for Code Generation and Understanding ICML 2024 A Study of Dropout-Induced Modality Bias on Robustness to Missing Video Frames for Audio-Visual Speech Recognition CVPR 2024 A Study of Plasticity Loss in On-Policy Deep Reinforcement Learning NeurIPS 2024 A Sublinear Adversarial Training Algorithm ICLR 2024 A Subspace-Constrained Tyler's Estimator and its Applications to Structure from Motion CVPR 2024 A surprisal oracle for when every layer counts CoNLL 2024 A Surprisingly Simple Approach to Generalized Few-Shot Semantic Segmentation NeurIPS 2024 A Surprisingly Simple Continuous-Action POMDP Solver: Lazy Cross-Entropy Search Over Policy Trees AAAI 2024 A Survey of Data-Efficient Graph Learning IJCAI 2024 A Survey of Learning Criteria Going beyond the Usual Risk (Abstract Reprint) AAAI 2024 A Survey on In-context Learning EMNLP 2024 A Survey on Multi-player Bandits JMLR 2024 A Survey on Neural Question Generation: Methods, Applications, and Prospects IJCAI 2024 ASWT-SGNN: Adaptive Spectral Wavelet Transform-Based Self-Supervised Graph Neural Network AAAI 2024 Asymmetric Bias in Text-to-Image Generation with Adversarial Attacks ACL 2024