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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)

Imagination-Augmented Agents for Deep Reinforcement Learning NeurIPS 2017 Implicit Syntactic Features for Target-dependent Sentiment Analysis IJCNLP 2017 Improved Single System Conversational Telephone Speech Recognition with VGG Bottleneck Features Interspeech 2017 Improved Training of Wasserstein GANs NeurIPS 2017 Improved Word Representation Learning with Sememes ACL 2017 Improving Deliverable Speech-to-Text Systems with Multilingual Knowledge Transfer Interspeech 2017 Improving Implicit Discourse Relation Recognition with Discourse-specific Word Embeddings ACL 2017 Improving Japanese-to-English Neural Machine Translation by Voice Prediction IJCNLP 2017 Improving Neural Knowledge Base Completion with Cross-Lingual Projections EACL 2017 Improving Neural Machine Translation through Phrase-based Forced Decoding IJCNLP 2017 Improving Neural Parsing by Disentangling Model Combination and Reranking Effects ACL 2017 Improving Neural Text Normalization with Data Augmentation at Character- and Morphological Levels IJCNLP 2017 Improving Pairwise Ranking for Multi-Label Image Classification CVPR 2017 Improving RANSAC-Based Segmentation Through CNN Encapsulation CVPR 2017 Improving Source Separation via Multi-Speaker Representations Interspeech 2017 Incorporating Copying Mechanism in Image Captioning for Learning Novel Objects CVPR 2017 Incorporating Side Information by Adaptive Convolution NeurIPS 2017 Incorporating Uncertainty into Deep Learning for Spoken Language Assessment ACL 2017 Incremental Graph-based Neural Dependency Parsing EMNLP 2017 Inducing Embeddings for Rare and Unseen Words by Leveraging Lexical Resources EACL 2017 Inductive Representation Learning on Large Graphs NeurIPS 2017 InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations NeurIPS 2017 Instance-Aware Image and Sentence Matching With Selective Multimodal LSTM CVPR 2017 Instance Weighting for Neural Machine Translation Domain Adaptation EMNLP 2017 Integrating Articulatory Information in Deep Learning-Based Text-to-Speech Synthesis Interspeech 2017