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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)

Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning ICCV 2023 Implicit Contrastive Representation Learning with Guided Stop-gradient NeurIPS 2023 Implicit Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis NeurIPS 2023 Implicit Identity Driven Deepfake Face Swapping Detection CVPR 2023 Implicit Neural Representation for Cooperative Low-light Image Enhancement ICCV 2023 Implicit phonetic information modeling for speech emotion recognition Interspeech 2023 Implicit Surface Contrastive Clustering for LiDAR Point Clouds CVPR 2023 Implicit Transfer Operator Learning: Multiple Time-Resolution Models for Molecular Dynamics NeurIPS 2023 Implicit variance regularization in non-contrastive SSL NeurIPS 2023 Importance-aware Co-teaching for Offline Model-based Optimization NeurIPS 2023 Importance Weighted Actor-Critic for Optimal Conservative Offline Reinforcement Learning NeurIPS 2023 Importance Weighted Expectation-Maximization for Protein Sequence Design ICML 2023 Impossibly Good Experts and How to Follow Them ICLR 2023 Im-Promptu: In-Context Composition from Image Prompts NeurIPS 2023 Improper Multiclass Boosting COLT 2023 Improved Active Multi-Task Representation Learning via Lasso ICML 2023 Improved Algorithms for Multi-period Multi-class Packing Problems with Bandit Feedback ICML 2023 Improved Bayesian Regret Bounds for Thompson Sampling in Reinforcement Learning NeurIPS 2023 Improved Best-of-Both-Worlds Guarantees for Multi-Armed Bandits: FTRL with General Regularizers and Multiple Optimal Arms NeurIPS 2023 Improved Bounds for Multi-task Learning with Trace Norm Regularization COLT 2023 Improved Contextualized Speech Representations for Tonal Analysis Interspeech 2023 Improved Convergence of Differential Private SGD with Gradient Clipping ICLR 2023 Improved Distribution Matching for Dataset Condensation CVPR 2023 Improved Kernel Alignment Regret Bound for Online Kernel Learning AAAI 2023 Improved Knowledge Transfer for Semi-Supervised Domain Adaptation via Trico Training Strategy ICCV 2023