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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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20
220
477
4,652
9,258
2000
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Papers (including subtopics)

Tomayto, Tomahto. Beyond Token-level Answer Equivalence for Question Answering Evaluation EMNLP 2022 To Miss-Attend Is to Misalign! Residual Self-Attentive Feature Alignment for Adapting Object Detectors WACV 2022 Top-Down Deep Clustering with Multi-Generator GANs AAAI 2022 Topical Segmentation of Spoken Narratives: A Test Case on Holocaust Survivor Testimonies EMNLP 2022 Topic Modeling With Topological Data Analysis EMNLP 2022 Topic-Regularized Authorship Representation Learning EMNLP 2022 TopKG: Target-oriented Dialog via Global Planning on Knowledge Graph COLING 2022 Top K Ranking for Multi-Armed Bandit with Noisy Evaluations AISTATS 2022 Topologically-Aware Deformation Fields for Single-View 3D Reconstruction CVPR 2022 Topologically Regularized Data Embeddings ICLR 2022 Top Two Algorithms Revisited NeurIPS 2022 TopWORDS-Seg: Simultaneous Text Segmentation and Word Discovery for Open-Domain Chinese Texts via Bayesian Inference ACL 2022 Torsional Diffusion for Molecular Conformer Generation NeurIPS 2022 To Smooth or Not? When Label Smoothing Meets Noisy Labels ICML 2022 To Trust or Not To Trust Prediction Scores for Membership Inference Attacks IJCAI 2022 Touch and Go: Learning from Human-Collected Vision and Touch NeurIPS 2022 Toward Annotator Group Bias in Crowdsourcing ACL 2022 Toward a realistic model of speech processing in the brain with self-supervised learning NeurIPS 2022 Toward Building a Language Model for Understanding Temporal Commonsense AACL 2022 Toward Compositional Generalization in Object-Oriented World Modeling ICML 2022 Toward Efficient Robust Training against Union of ℓ_p Threat Models NeurIPS 2022 Toward Interpretable Semantic Textual Similarity via Optimal Transport-based Contrastive Sentence Learning ACL 2022 Toward Low-Cost End-to-End Spoken Language Understanding Interspeech 2022 Toward More Effective Human Evaluation for Machine Translation ACL 2022 Toward Robust Spiking Neural Network Against Adversarial Perturbation NeurIPS 2022