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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)

Context Sensitive Neural Lemmatization with Lematus NAACL 2018 Contextual Inter-modal Attention for Multi-modal Sentiment Analysis EMNLP 2018 Contextual Neural Model for Translating Bilingual Multi-Speaker Conversations EMNLP 2018 Contextual Parameter Generation for Universal Neural Machine Translation EMNLP 2018 Convolutional Interaction Network for Natural Language Inference EMNLP 2018 Convolutional Neural Networks with Recurrent Neural Filters EMNLP 2018 Convolutions Are All You Need (For Classifying Character Sequences) EMNLP 2018 Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation IJCAI 2018 Cooperative Holistic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose Estimation NeurIPS 2018 Cooperative Learning of Audio and Video Models from Self-Supervised Synchronization NeurIPS 2018 Corpus Specificity in LSA and Word2vec: The Role of Out-of-Domain Documents ACL 2018 Correcting Length Bias in Neural Machine Translation EMNLP 2018 CosFace: Large Margin Cosine Loss for Deep Face Recognition CVPR 2018 Countering Adversarial Images using Input Transformations ICLR 2018 Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning CVPR 2018 Cross-Domain Detection of Abusive Language Online EMNLP 2018 Cross-Domain Weakly-Supervised Object Detection Through Progressive Domain Adaptation CVPR 2018 Cross-lingual Decompositional Semantic Parsing EMNLP 2018 Cross-Modal Deep Variational Hand Pose Estimation CVPR 2018 Cross-Modality Person Re-Identification with Generative Adversarial Training IJCAI 2018 Cross-topic Argument Mining from Heterogeneous Sources EMNLP 2018 Crowd Counting via Adversarial Cross-Scale Consistency Pursuit CVPR 2018 CRRN: Multi-Scale Guided Concurrent Reflection Removal Network CVPR 2018 CSGNet: Neural Shape Parser for Constructive Solid Geometry CVPR 2018 Cube Padding for Weakly-Supervised Saliency Prediction in 360° Videos CVPR 2018