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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)

Keeping Up Appearances: Computational Modeling of Face Acts in Persuasion Oriented Discussions EMNLP 2020 Kernel Based Progressive Distillation for Adder Neural Networks NeurIPS 2020 Kernelized information bottleneck leads to biologically plausible 3-factor Hebbian learning in deep networks NeurIPS 2020 Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning L4DC 2020 Keywords-Guided Abstractive Sentence Summarization AAAI 2020 Knowing Right from Wrong: Should We Use More Complex Models for Automatic Short-Answer Scoring in Bahasa Indonesia? EMNLP 2020 Knowledge As Priors: Cross-Modal Knowledge Generalization for Datasets Without Superior Knowledge CVPR 2020 Knowledge Distillation for Multilingual Unsupervised Neural Machine Translation ACL 2020 Knowledge Distillation from Offline to Streaming RNN Transducer for End-to-End Speech Recognition Interspeech 2020 Knowledge-Enriched Visual Storytelling AAAI 2020 Knowledge-Graph Augmented Word Representations for Named Entity Recognition AAAI 2020 Knowledge Graph Embedding Compression ACL 2020 Knowledge Integration Networks for Action Recognition AAAI 2020 Knowledge Supports Visual Language Grounding: A Case Study on Colour Terms ACL 2020 KU-CST at the SIGMORPHON 2020 Task 2 on Unsupervised Morphological Paradigm Completion ACL 2020 Label Decoupling Framework for Salient Object Detection CVPR 2020 Label-Efficient Training for Next Response Selection EMNLP 2020 Labelling unlabelled videos from scratch with multi-modal self-supervision NeurIPS 2020 Language-aware Interlingua for Multilingual Neural Machine Translation ACL 2020 Language-Conditioned Feature Pyramids for Visual Selection Tasks EMNLP 2020 Language Models as Fact Checkers? ACL 2020 Language Through a Prism: A Spectral Approach for Multiscale Language Representations NeurIPS 2020 Language to Network: Conditional Parameter Adaptation with Natural Language Descriptions ACL 2020 LAReQA: Language-Agnostic Answer Retrieval from a Multilingual Pool EMNLP 2020 Large-Scale Adversarial Training for Vision-and-Language Representation Learning NeurIPS 2020