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Learning Types

56,253 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

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2000
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Papers (including subtopics)

Computationally Efficient PAC RL in POMDPs with Latent Determinism and Conditional Embeddings ICML 2023 Computation and Data Efficient Backdoor Attacks ICCV 2023 Computation and Memory Efficient Noise Adaptation of Wav2Vec2.0 for Noisy Speech Emotion Recognition with Skip Connection Adapters Interspeech 2023 ComSearch: Equation Searching with Combinatorial Strategy for Solving Math Word Problems with Weak Supervision EACL 2023 Concept-based Persona Expansion for Improving Diversity of Persona-Grounded Dialogue EACL 2023 Concept-level Debugging of Part-Prototype Networks ICLR 2023 Conceptual Reinforcement Learning for Language-Conditioned Tasks AAAI 2023 Concept-wise Fine-tuning Matters in Preventing Negative Transfer ICCV 2023 ConceptX: A Framework for Latent Concept Analysis AAAI 2023 ConCerNet: A Contrastive Learning Based Framework for Automated Conservation Law Discovery and Trustworthy Dynamical System Prediction ICML 2023 Concurrent Multi-Label Prediction in Event Streams AAAI 2023 Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation AAAI 2023 Conditional Mutual Information for Disentangled Representations in Reinforcement Learning NeurIPS 2023 Conditional Tree Matching for Inference-Time Adaptation of Tree Prediction Models ICML 2023 Conditioning on Dialog Acts improves Empathy Style Transfer EMNLP 2023 ConEntail: An Entailment-based Framework for Universal Zero and Few Shot Classification with Supervised Contrastive Pretraining EACL 2023 CO-Net: Learning Multiple Point Cloud Tasks at Once with A Cohesive Network ICCV 2023 ConFEDE: Contrastive Feature Decomposition for Multimodal Sentiment Analysis ACL 2023 Confidence and Dispersity Speak: Characterizing Prediction Matrix for Unsupervised Accuracy Estimation ICML 2023 Confidence and Uncertainty Assessment for Distributional Random Forests JMLR 2023 Confidence-aware Pseudo-label Learning for Weakly Supervised Visual Grounding ICCV 2023 Confidence-Aware Training of Smoothed Classifiers for Certified Robustness AAAI 2023 Confidence-based Ensembling of Perspective-aware Models EMNLP 2023 Confidence-based Visual Dispersal for Few-shot Unsupervised Domain Adaptation ICCV 2023 Confidence-Conditioned Value Functions for Offline Reinforcement Learning ICLR 2023