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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
'10
'15
'20
'25

Papers (including subtopics)

Parametric Surface Constrained Upsampler Network for Point Cloud AAAI 2023 Pareto Frontiers in Deep Feature Learning: Data, Compute, Width, and Luck NeurIPS 2023 Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization ICLR 2023 ParroT: Translating during Chat using Large Language Models tuned with Human Translation and Feedback EMNLP 2023 PartDistillation: Learning Parts From Instance Segmentation CVPR 2023 Partial-Label Regression AAAI 2023 Partial Label Unsupervised Domain Adaptation with Class-Prototype Alignment ICLR 2023 Partially Observable RL with B-Stability: Unified Structural Condition and Sharp Sample-Efficient Algorithms ICLR 2023 PartManip: Learning Cross-Category Generalizable Part Manipulation Policy From Point Cloud Observations CVPR 2023 PartMix: Regularization Strategy To Learn Part Discovery for Visible-Infrared Person Re-Identification CVPR 2023 Parts2Words: Learning Joint Embedding of Point Clouds and Texts by Bidirectional Matching Between Parts and Words CVPR 2023 PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language Models CVPR 2023 PASS: Patch Automatic Skip Scheme for Efficient Real-Time Video Perception on Edge Devices AAAI 2023 Patch-Craft Self-Supervised Training for Correlated Image Denoising CVPR 2023 Patch-level Contrastive Learning via Positional Query for Visual Pre-training ICML 2023 Patch-level Neighborhood Interpolation: A General and Effective Graph-based Regularization Strategy ACML 2023 Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game Perspective CVPR 2023 Path Neural Networks: Expressive and Accurate Graph Neural Networks ICML 2023 PATRON: Perspective-Aware Multitask Model for Referring Expression Grounding Using Embodied Multimodal Cues AAAI 2023 PATS: Patch Area Transportation With Subdivision for Local Feature Matching CVPR 2023 Pay Attention to Implicit Attribute Values: A Multi-modal Generative Framework for AVE Task ACL 2023 PCMID: Multi-Intent Detection through Supervised Prototypical Contrastive Learning EMNLP 2023 PCR: Proxy-Based Contrastive Replay for Online Class-Incremental Continual Learning CVPR 2023 PD-AR at ArAIEval Shared Task: A BERT-Centric Approach to Tackle Arabic Disinformation EMNLP 2023 PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers AAAI 2023