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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)

Sensitivity Direction Learning with Neural Networks Using Domain Knowledge as Soft Shape Constraints IJCAI 2021 Sentence-Permuted Paragraph Generation EMNLP 2021 Separating Skills and Concepts for Novel Visual Question Answering CVPR 2021 SeqAttack: On Adversarial Attacks for Named Entity Recognition EMNLP 2021 Sequence Length is a Domain: Length-based Overfitting in Transformer Models EMNLP 2021 Sequence-to-Sequence Contrastive Learning for Text Recognition CVPR 2021 Sequence-to-Sequence Lexical Normalization with Multilingual Transformers EMNLP 2021 Sequential 3D Human Pose Estimation Using Adaptive Point Cloud Sampling Strategy IJCAI 2021 Sequential Attacks on Kalman Filter-based Forward Collision Warning Systems AAAI 2021 Sequential Causal Imitation Learning with Unobserved Confounders NeurIPS 2021 SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud CVPR 2021 Set Prediction in the Latent Space NeurIPS 2021 Sewer-ML: A Multi-Label Sewer Defect Classification Dataset and Benchmark CVPR 2021 Shape-based Feature Engineering for Solar Flare Prediction AAAI 2021 Shapley Explanation Networks ICLR 2021 Shared Cross-Modal Trajectory Prediction for Autonomous Driving CVPR 2021 Shared Task 1 System Description : Exploring different approaches for multilingual tasks ACL 2021 Share or Not? Learning to Schedule Language-Specific Capacity for Multilingual Translation ICLR 2021 Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer ICML 2021 Shelf-Supervised Mesh Prediction in the Wild CVPR 2021 Shortformer: Better Language Modeling using Shorter Inputs ACL 2021 Shot Contrastive Self-Supervised Learning for Scene Boundary Detection CVPR 2021 SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations AAAI 2021 Should We Always Separate?: Switching Between Enhanced and Observed Signals for Overlapping Speech Recognition Interspeech 2021 Show, Attend and Distill: Knowledge Distillation via Attention-based Feature Matching AAAI 2021