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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)

Single-Stage Semantic Segmentation From Image Labels CVPR 2020 Single-Step Adversarial Training With Dropout Scheduling CVPR 2020 Sinkhorn Regression IJCAI 2020 SJTU-NICT’s Supervised and Unsupervised Neural Machine Translation Systems for the WMT20 News Translation Task EMNLP 2020 SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysis ACL 2020 Sketch-BERT: Learning Sketch Bidirectional Encoder Representation From Transformers by Self-Supervised Learning of Sketch Gestalt CVPR 2020 Sketch Less for More: On-the-Fly Fine-Grained Sketch-Based Image Retrieval CVPR 2020 SketchTransfer: A New Dataset for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks WACV 2020 Skew-Fit: State-Covering Self-Supervised Reinforcement Learning ICML 2020 Skill Rating for Multiplayer Games. Introducing Hypernode Graphs and their Spectral Theory JMLR 2020 SkoltechNLP at SemEval-2020 Task 11: Exploring Unsupervised Text Augmentation for Propaganda Detection SemEval 2020 SLEDGE-Z: A Zero-Shot Baseline for COVID-19 Literature Search EMNLP 2020 Slice-Aware Neural Ranking EMNLP 2020 Sliced Cramer Synaptic Consolidation for Preserving Deeply Learned Representations ICLR 2020 SLICE: Supersense-based Lightweight Interpretable Contextual Embeddings COLING 2020 SLM: Learning a Discourse Language Representation with Sentence Unshuffling EMNLP 2020 Slot-consistent NLG for Task-oriented Dialogue Systems with Iterative Rectification Network ACL 2020 SLV: Spatial Likelihood Voting for Weakly Supervised Object Detection CVPR 2020 Small but Mighty: New Benchmarks for Split and Rephrase EMNLP 2020 Small-GAN: Speeding up GAN Training using Core-Sets ICML 2020 Small Nash Equilibrium Certificates in Very Large Games NeurIPS 2020 SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization ACL 2020 SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection AAAI 2020 Smooth And Consistent Probabilistic Regression Trees NeurIPS 2020 Smooth Contextual Bandits: Bridging the Parametric and Non-differentiable Regret Regimes COLT 2020