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Learning Types

32,670 papers (1 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

38
179
3,018
5,737
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'15
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'25

Papers (including subtopics)

Focal and Global Knowledge Distillation for Detectors CVPR 2022 Focus on the Action: Learning to Highlight and Summarize Jointly for Email To-Do Items Summarization ACL 2022 Focus! Relevant and Sufficient Context Selection for News Image Captioning EMNLP 2022 FoggyStereo: Stereo Matching With Fog Volume Representation CVPR 2022 Food for Thought: How can we exploit contextual embeddings in the translation of idiomatic expressions? EMNLP 2022 Forecasting Asset Dependencies to Reduce Portfolio Risk AAAI 2022 Forging Multiple Training Objectives for Pre-trained Language Models via Meta-Learning EMNLP 2022 Formalizing Consistency and Coherence of Representation Learning NeurIPS 2022 Formant Estimation and Tracking using Probabilistic Heat-Maps Interspeech 2022 FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information EMNLP 2022 FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extraction ACL 2022 Formulating Few-shot Fine-tuning Towards Language Model Pre-training: A Pilot Study on Named Entity Recognition EMNLP 2022 Formulating Robustness Against Unforeseen Attacks NeurIPS 2022 FORTAP: Using Formulas for Numerical-Reasoning-Aware Table Pretraining ACL 2022 Fortunately, Discourse Markers Can Enhance Language Models for Sentiment Analysis AAAI 2022 Forward Compatible Training for Large-Scale Embedding Retrieval Systems CVPR 2022 Foundation Models of Scientific Knowledge for Chemistry: Opportunities, Challenges and Lessons Learned ACL 2022 FPAdaMetric: False-Positive-Aware Adaptive Metric Learning for Session-Based Recommendation AAAI 2022 FPT: Improving Prompt Tuning Efficiency via Progressive Training EMNLP 2022 Frame-Wise Action Representations for Long Videos via Sequence Contrastive Learning CVPR 2022 FreeSOLO: Learning To Segment Objects Without Annotations CVPR 2022 French CrowS-Pairs: Extending a challenge dataset for measuring social bias in masked language models to a language other than English ACL 2022 FrePGAN: Robust Deepfake Detection Using Frequency-Level Perturbations AAAI 2022 Frequency-Aware Contrastive Learning for Neural Machine Translation AAAI 2022 Frequency-Driven Imperceptible Adversarial Attack on Semantic Similarity CVPR 2022