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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)

Co-imitation: Learning Design and Behaviour by Imitation AAAI 2023 CoIn: Contrastive Instance Feature Mining for Outdoor 3D Object Detection with Very Limited Annotations ICCV 2023 Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates ICML 2023 CoinSeg: Contrast Inter- and Intra- Class Representations for Incremental Segmentation ICCV 2023 CoKe: Contrastive Learning for Robust Keypoint Detection WACV 2023 Cola: A Benchmark for Compositional Text-to-image Retrieval NeurIPS 2023 CoLaDa: A Collaborative Label Denoising Framework for Cross-lingual Named Entity Recognition ACL 2023 COLA: Improving Conversational Recommender Systems by Collaborative Augmentation AAAI 2023 Cold Diffusion on the Replay Buffer: Learning to Plan from Known Good States CoRL 2023 ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning ACL 2023 Cold-Start Data Selection for Better Few-shot Language Model Fine-tuning: A Prompt-based Uncertainty Propagation Approach ACL 2023 Collaborative Alignment of NLP Models NeurIPS 2023 Collaborative Causal Inference with Fair Incentives ICML 2023 Collaborative Learning via Prediction Consensus NeurIPS 2023 Collaboratively Learning Linear Models with Structured Missing Data NeurIPS 2023 Collaborative Noisy Label Cleaner: Learning Scene-Aware Trailers for Multi-Modal Highlight Detection in Movies CVPR 2023 Collaborative Propagation on Multiple Instance Graphs for 3D Instance Segmentation with Single-point Supervision ICCV 2023 Collaborative Pure Exploration in Kernel Bandit ICLR 2023 Collecting Cross-Modal Presence-Absence Evidence for Weakly-Supervised Audio-Visual Event Perception CVPR 2023 CoMAE: Single Model Hybrid Pre-training on Small-Scale RGB-D Datasets AAAI 2023 CoMave: Contrastive Pre-training with Multi-scale Masking for Attribute Value Extraction ACL 2023 Combating Bilateral Edge Noise for Robust Link Prediction NeurIPS 2023 Combating Exacerbated Heterogeneity for Robust Models in Federated Learning ICLR 2023 Combating Noisy Labels with Sample Selection by Mining High-Discrepancy Examples ICCV 2023 Combating Representation Learning Disparity with Geometric Harmonization NeurIPS 2023