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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)

Independent Feature Decomposition and Instance Alignment for Unsupervised Domain Adaptation IJCAI 2023 Indescribable Multi-Modal Spatial Evaluator CVPR 2023 Indicative Summarization of Long Discussions EMNLP 2023 Indirect Adversarial Losses via an Intermediate Distribution for Training GANs WACV 2023 InDiReCT: Language-Guided Zero-Shot Deep Metric Learning for Images WACV 2023 Indirectly Supervised Natural Language Processing ACL 2023 Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning ICLR 2023 In-Distribution Barrier Functions: Self-Supervised Policy Filters that Avoid Out-of-Distribution States L4DC 2023 Individually Fair Learning with One-Sided Feedback ICML 2023 Inducing Character-level Structure in Subword-based Language Models with Type-level Interchange Intervention Training ACL 2023 Inducing Data Amplification Using Auxiliary Datasets in Adversarial Training WACV 2023 Inducing Neural Collapse in Deep Long-tailed Learning AISTATS 2023 Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation AISTATS 2023 Inequality phenomenon in l_∞-adversarial training, and its unrealized threats ICLR 2023 Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning EMNLP 2023 Inferring and Leveraging Parts From Object Shape for Improving Semantic Image Synthesis CVPR 2023 Influence Diagnostics under Self-concordance AISTATS 2023 Influence Scores at Scale for Efficient Language Data Sampling EMNLP 2023 InfoCD: A Contrastive Chamfer Distance Loss for Point Cloud Completion NeurIPS 2023 InfoCL: Alleviating Catastrophic Forgetting in Continual Text Classification from An Information Theoretic Perspective EMNLP 2023 InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual Topic Modeling AAAI 2023 InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models ICML 2023 InfoNCE Loss Provably Learns Cluster-Preserving Representations COLT 2023 InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding NeurIPS 2023 Information-Directed Selection for Top-Two Algorithms COLT 2023