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Learning Types

56,253 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 (1,983) 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)
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Papers (including subtopics)

Towards Lifelong Learning of End-to-End ASR Interspeech 2021 Towards more equitable question answering systems: How much more data do you need? ACL 2021 Towards Navigation by Reasoning over Spatial Configurations ACL 2021 Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding ICLR 2021 Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach NeurIPS 2021 Towards Open World Object Detection CVPR 2021 Towards Realistic Few-Shot Relation Extraction EMNLP 2021 Towards Realistic Single-Task Continuous Learning Research for NER EMNLP 2021 Towards Reducing Biases in Combining Multiple Experts Online IJCAI 2021 Towards Robust and Reliable Algorithmic Recourse NeurIPS 2021 Towards Robust Classification Model by Counterfactual and Invariant Data Generation CVPR 2021 Towards robust episodic meta-learning UAI 2021 Towards Robust Model Reuse in the Presence of Latent Domains IJCAI 2021 Towards Robustness of Text-to-SQL Models against Synonym Substitution ACL 2021 Towards robust vision by multi-task learning on monkey visual cortex NeurIPS 2021 Towards Rotation Invariance in Object Detection ICCV 2021 Towards Sample Efficient Agents through Algorithmic Alignment (Student Abstract) AAAI 2021 Towards Scalable Unpaired Virtual Try-On via Patch-Routed Spatially-Adaptive GAN NeurIPS 2021 Towards Semantics-Enhanced Pre-Training: Can Lexicon Definitions Help Learning Sentence Meanings? AAAI 2021 Towards Sentiment and Emotion aided Multi-modal Speech Act Classification in Twitter NAACL 2021 Towards the evaluation of automatic simultaneous speech translation from a communicative perspective ACL 2021 Towards Topic-Aware Slide Generation For Academic Papers With Unsupervised Mutual Learning AAAI 2021 Towards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial Calibration AAAI 2021 Towards Understanding Deep Learning from Noisy Labels with Small-Loss Criterion IJCAI 2021 Towards Understanding Learning in Neural Networks with Linear Teachers ICML 2021