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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)

From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood ACL 2017 From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur CVPR 2017 G2DeNet: Global Gaussian Distribution Embedding Network and Its Application to Visual Recognition CVPR 2017 Gated Feedback Refinement Network for Dense Image Labeling CVPR 2017 Gated Recurrent Convolution Neural Network for OCR NeurIPS 2017 Gaze Embeddings for Zero-Shot Image Classification CVPR 2017 Generalized Deep Image to Image Regression CVPR 2017 Generalizing GANs: A Turing Perspective NeurIPS 2017 Generating and Exploiting Large-scale Pseudo Training Data for Zero Pronoun Resolution ACL 2017 Generating Descriptions With Grounded and Co-Referenced People CVPR 2017 Generating steganographic images via adversarial training NeurIPS 2017 Generation of Large-Scale Simulated Utterances in Virtual Rooms to Train Deep-Neural Networks for Far-Field Speech Recognition in Google Home Interspeech 2017 Generative Adversarial Network-Based Glottal Waveform Model for Statistical Parametric Speech Synthesis Interspeech 2017 Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs CVPR 2017 Globally Normalized Reader EMNLP 2017 Global Syllable Vectors for Building TTS Front-End with Deep Learning Interspeech 2017 Good Semi-supervised Learning That Requires a Bad GAN NeurIPS 2017 Graph-based Isometry Invariant Representation Learning ICML 2017 Graph Convolutional Encoders for Syntax-aware Neural Machine Translation EMNLP 2017 Graph-Structured Representations for Visual Question Answering CVPR 2017 GuessWhat?! Visual Object Discovery Through Multi-Modal Dialogue CVPR 2017 Guided Open Vocabulary Image Captioning with Constrained Beam Search EMNLP 2017 Handling Cold-Start Problem in Review Spam Detection by Jointly Embedding Texts and Behaviors ACL 2017 Harmonic Networks: Deep Translation and Rotation Equivariance CVPR 2017 Hash Embeddings for Efficient Word Representations NeurIPS 2017