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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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Papers (including subtopics)

RoBLEURT Submission for WMT2021 Metrics Task EMNLP 2021 Robot Manipulation Learning Using Generative Adversarial Imitation Learning IJCAI 2021 Robust Adversarial Imitation Learning via Adaptively-Selected Demonstrations IJCAI 2021 Robust and Accurate Object Detection via Adversarial Learning CVPR 2021 Robust Asymmetric Learning in POMDPs ICML 2021 Robust Auction Design in the Auto-bidding World NeurIPS 2021 Robust Audio-Visual Instance Discrimination CVPR 2021 Robust Bandit Learning with Imperfect Context AAAI 2021 Robust Bayesian Neural Networks by Spectral Expectation Bound Regularization CVPR 2021 Robust Continuous On-Device Personalization for Automatic Speech Recognition Interspeech 2021 Robust Contrastive Learning Using Negative Samples with Diminished Semantics NeurIPS 2021 Robust Curriculum Learning: from clean label detection to noisy label self-correction ICLR 2021 Robust Deep Reinforcement Learning through Adversarial Loss NeurIPS 2021 Robust Density Estimation from Batches: The Best Things in Life are (Nearly) Free ICML 2021 Robust Domain Adaptation: Representations, Weights and Inductive Bias (Extended Abstract) IJCAI 2021 Robust early-learning: Hindering the memorization of noisy labels ICLR 2021 Robust Fragment-Based Framework for Cross-lingual Sentence Retrieval EMNLP 2021 Robustifying Algorithms of Learning Latent Trees with Vector Variables NeurIPS 2021 Robust Imitation Learning from Noisy Demonstrations AISTATS 2021 Robust Instance Segmentation Through Reasoning About Multi-Object Occlusion CVPR 2021 Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch NeurIPS 2021 Robust Knowledge Transfer via Hybrid Forward on the Teacher-Student Model AAAI 2021 Robust Learning-Augmented Caching: An Experimental Study ICML 2021 Robust Learning for Data Poisoning Attacks ICML 2021 Robust Learning of Optimal Auctions NeurIPS 2021