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Learning Types

32,670 papers (1 classified directly here)

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)
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Papers (including subtopics)

Speaker-Targeted Audio-Visual Models for Speech Recognition in Cocktail-Party Environments Interspeech 2016 Speech Enhancement for a Noise-Robust Text-to-Speech Synthesis System Using Deep Recurrent Neural Networks Interspeech 2016 Split and Match: Example-Based Adaptive Patch Sampling for Unsupervised Style Transfer CVPR 2016 Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches JMLR 2016 Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles NeurIPS 2016 Stochastic Neural Networks with Monotonic Activation Functions AISTATS 2016 Strategic Attentive Writer for Learning Macro-Actions NeurIPS 2016 Streaming Kernel Principal Component Analysis AISTATS 2016 Structured Feature Learning for Pose Estimation CVPR 2016 Structured Prediction of Unobserved Voxels From a Single Depth Image CVPR 2016 Studying Very Low Resolution Recognition Using Deep Networks CVPR 2016 Sub-Word Similarity based Search for Embeddings: Inducing Rare-Word Embeddings for Word Similarity Tasks and Language Modelling COLING 2016 Summary Transfer: Exemplar-Based Subset Selection for Video Summarization CVPR 2016 Supervised Quantization for Similarity Search CVPR 2016 Supervised Word Mover's Distance NeurIPS 2016 Swapout: Learning an ensemble of deep architectures NeurIPS 2016 Syntactic realization with data-driven neural tree grammars COLING 2016 Tagger: Deep Unsupervised Perceptual Grouping NeurIPS 2016 Temporal Multimodal Learning in Audiovisual Speech Recognition CVPR 2016 TenSR: Multi-Dimensional Tensor Sparse Representation CVPR 2016 TGIF: A New Dataset and Benchmark on Animated GIF Description CVPR 2016 The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes CVPR 2016 Thin-Slicing for Pose: Learning to Understand Pose Without Explicit Pose Estimation CVPR 2016 TI-Pooling: Transformation-Invariant Pooling for Feature Learning in Convolutional Neural Networks CVPR 2016 Top-Push Video-Based Person Re-Identification CVPR 2016