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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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'25

Papers (including subtopics)

Generic resources are what you need: Style transfer tasks without task-specific parallel training data EMNLP 2021 Geodesic-HOF: 3D Reconstruction Without Cutting Corners AAAI 2021 Geography-Aware Self-Supervised Learning ICCV 2021 Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances ICML 2021 Geometry Processing with Neural Fields NeurIPS 2021 GeoSim: Realistic Video Simulation via Geometry-Aware Composition for Self-Driving CVPR 2021 GFST: Gender-Filtered Self-Training for More Accurate Gender in Translation EMNLP 2021 GiBERT: Enhancing BERT with Linguistic Information using a Lightweight Gated Injection Method EMNLP 2021 Glance and Gaze: Inferring Action-Aware Points for One-Stage Human-Object Interaction Detection CVPR 2021 Glancing at the Patch: Anomaly Localization With Global and Local Feature Comparison CVPR 2021 GLAVNet: Global-Local Audio-Visual Cues for Fine-Grained Material Recognition CVPR 2021 Global Explainability of BERT-Based Evaluation Metrics by Disentangling along Linguistic Factors EMNLP 2021 Global Fusion Attention for Vision and Language Understanding (Student Abstract) AAAI 2021 Globally-Robust Neural Networks ICML 2021 Global Transport for Fluid Reconstruction With Learned Self-Supervision CVPR 2021 Glow-WaveGAN: Learning Speech Representations from GAN-Based Variational Auto-Encoder for High Fidelity Flow-Based Speech Synthesis Interspeech 2021 GMOT-40: A Benchmark for Generic Multiple Object Tracking CVPR 2021 Goal-Oriented Gaze Estimation for Zero-Shot Learning CVPR 2021 Good-Enough Example Extrapolation EMNLP 2021 GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation EMNLP 2021 Gradient-based Adversarial Attacks against Text Transformers EMNLP 2021 Gradient-Based Adversarial Factual Consistency Evaluation for Abstractive Summarization EMNLP 2021 Gradient-Free Adversarial Training Against Image Corruption for Learning-based Steering NeurIPS 2021 Gradient Regularized Contrastive Learning for Continual Domain Adaptation AAAI 2021 GradingNet: Towards Providing Reliable Supervisions for Weakly Supervised Object Detection by Grading the Box Candidates AAAI 2021