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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)

SLIM: Self-Supervised LiDAR Scene Flow and Motion Segmentation ICCV 2021 Slot Machines: Discovering Winning Combinations of Random Weights in Neural Networks ICML 2021 Small Data? No Problem! Exploring the Viability of Pretrained Multilingual Language Models for Low-resourced Languages EMNLP 2021 SmallER: Scaling Neural Entity Resolution for Edge Devices Interspeech 2021 Small Model and In-Domain Data Are All You Need EMNLP 2021 Smoothing the Disentangled Latent Style Space for Unsupervised Image-to-Image Translation CVPR 2021 SMURF: Self-Teaching Multi-Frame Unsupervised RAFT With Full-Image Warping CVPR 2021 S-NLP at SemEval-2021 Task 5: An Analysis of Dual Networks for Sequence Tagging SemEval 2021 SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution With Skip-Transformer ICCV 2021 Snowflake: Scaling GNNs to high-dimensional continuous control via parameter freezing NeurIPS 2021 Social NCE: Contrastive Learning of Socially-Aware Motion Representations ICCV 2021 Soft-IntroVAE: Analyzing and Improving the Introspective Variational Autoencoder CVPR 2021 Soft Layer Selection with Meta-Learning for Zero-Shot Cross-Lingual Transfer ACL 2021 Softmax Policy Gradient Methods Can Take Exponential Time to Converge COLT 2021 SOLAR: Sparse Orthogonal Learned and Random Embeddings ICLR 2021 SOLD2: Self-Supervised Occlusion-Aware Line Description and Detection CVPR 2021 Solving Aspect Category Sentiment Analysis as a Text Generation Task EMNLP 2021 Solving Challenging Dexterous Manipulation Tasks With Trajectory Optimisation and Reinforcement Learning ICML 2021 Solving Inefficiency of Self-Supervised Representation Learning ICCV 2021 Solving JumpIN’ Using Zero-Dependency Reinforcement Learning (Student Abstract) AAAI 2021 “Something Something Hota Hai!” An Explainable Approach towards Sentiment Analysis on Indian Code-Mixed Data EMNLP 2021 Sometimes We Want Ungrammatical Translations EMNLP 2021 SongMASS: Automatic Song Writing with Pre-training and Alignment Constraint AAAI 2021 SOPE: Spectrum of Off-Policy Estimators NeurIPS 2021 SORNet: Spatial Object-Centric Representations for Sequential Manipulation CoRL 2021