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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)

Towards Certificated Model Robustness Against Weight Perturbations AAAI 2020 Towards Comprehensive Recommender Systems: Time-Aware Unified Recommendations Based on Listwise Ranking of Implicit Cross-Network Data AAAI 2020 Towards Consistent Variational Auto-Encoding (Student Abstract) AAAI 2020 Towards Context-Aware End-to-End Code-Switching Speech Recognition Interspeech 2020 Towards Controllable Biases in Language Generation EMNLP 2020 Towards Cross-Modality Medical Image Segmentation with Online Mutual Knowledge Distillation AAAI 2020 Towards Debiasing Sentence Representations ACL 2020 Towards Discriminability and Diversity: Batch Nuclear-Norm Maximization Under Label Insufficient Situations CVPR 2020 Towards Emotion-aided Multi-modal Dialogue Act Classification ACL 2020 Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation CVPR 2020 Towards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk AAAI 2020 Towards Global Explanations of Convolutional Neural Networks With Concept Attribution CVPR 2020 Towards Good Practice for CNN-Based Monocular Depth Estimation WACV 2020 Towards Hands-Free Visual Dialog Interactive Recommendation AAAI 2020 Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-Training CVPR 2020 Towards Learning Structure via Consensus for Face Segmentation and Parsing CVPR 2020 Towards Making the Most of BERT in Neural Machine Translation AAAI 2020 Towards Maximizing the Representation Gap between In-Domain & Out-of-Distribution Examples NeurIPS 2020 Towards More Practical Adversarial Attacks on Graph Neural Networks NeurIPS 2020 Towards Open Domain Event Trigger Identification using Adversarial Domain Adaptation ACL 2020 Towards Oracle Knowledge Distillation with Neural Architecture Search AAAI 2020 Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent AAAI 2020 Towards Reversal-Based Textual Data Augmentation for NLI Problems with Opposable Classes ACL 2020 Towards Robust Image Classification Using Sequential Attention Models CVPR 2020 Towards Scalable Multi-Domain Conversational Agents: The Schema-Guided Dialogue Dataset AAAI 2020