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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)

Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks CVPR 2023 Raw Image Reconstruction With Learned Compact Metadata CVPR 2023 RC3: Regularized Contrastive Cross-lingual Cross-modal Pre-training ACL 2023 RD-Suite: A Benchmark for Ranking Distillation NeurIPS 2023 RDumb: A simple approach that questions our progress in continual test-time adaptation NeurIPS 2023 Re2TAL: Rewiring Pretrained Video Backbones for Reversible Temporal Action Localization CVPR 2023 READIN: A Chinese Multi-Task Benchmark with Realistic and Diverse Input Noises ACL 2023 ReadPrompt: A Readable Prompting Method for Reliable Knowledge Probing EMNLP 2023 Real or Fake Text?: Investigating Human Ability to Detect Boundaries between Human-Written and Machine-Generated Text AAAI 2023 Real Time Detection of Soft Voice for Speech Enhancement Interspeech 2023 Reasoning Implicit Sentiment with Chain-of-Thought Prompting ACL 2023 Reasoning with Language Model Prompting: A Survey ACL 2023 ReasonNet: End-to-End Driving With Temporal and Global Reasoning CVPR 2023 Rebalancing Batch Normalization for Exemplar-Based Class-Incremental Learning CVPR 2023 Rebalancing Gradient To Improve Self-Supervised Co-Training of Depth, Odometry and Optical Flow Predictions WACV 2023 RECAP: Retrieval-Enhanced Context-Aware Prefix Encoder for Personalized Dialogue Response Generation ACL 2023 Recognizability Embedding Enhancement for Very Low-Resolution Face Recognition and Quality Estimation CVPR 2023 Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors NeurIPS 2023 Reconstruction Probing ACL 2023 ReCo: Region-Controlled Text-to-Image Generation CVPR 2023 Recovering from Out-of-sample States via Inverse Dynamics in Offline Reinforcement Learning NeurIPS 2023 Recovering the Graph Underlying Networked Dynamical Systems under Partial Observability: A Deep Learning Approach AAAI 2023 Recurrent Homography Estimation Using Homography-Guided Image Warping and Focus Transformer CVPR 2023 Recursive Time Series Data Augmentation ICLR 2023 Recursive Video Lane Detection ICCV 2023