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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)

On the Impact of Knowledge Distillation for Model Interpretability ICML 2023 On the Nature of Discrete Speech Representations in Multilingual Self-supervised Models EACL 2023 On the Off-Target Problem of Zero-Shot Multilingual Neural Machine Translation ACL 2023 On the Pareto Front of Multilingual Neural Machine Translation NeurIPS 2023 On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection NeurIPS 2023 On the robustness of wav2vec 2.0 based speaker recognition systems Interspeech 2023 On the Stability and Generalization of Triplet Learning AAAI 2023 On the Stability-Plasticity Dilemma in Continual Meta-Learning: Theory and Algorithm NeurIPS 2023 On the Transferability of Visually Grounded PCFGs EMNLP 2023 On the Universal Adversarial Perturbations for Efficient Data-free Adversarial Detection ACL 2023 On the Vulnerability of Backdoor Defenses for Federated Learning AAAI 2023 On the Zero-Shot Generalization of Machine-Generated Text Detectors EMNLP 2023 ON-TRAC Consortium Systems for the IWSLT 2023 Dialectal and Low-resource Speech Translation Tasks ACL 2023 OpenAssistant Conversations - Democratizing Large Language Model Alignment NeurIPS 2023 Open-Category Human-Object Interaction Pre-Training via Language Modeling Framework CVPR 2023 Open-Ended Instructable Embodied Agents with Memory-Augmented Large Language Models EMNLP 2023 Opening the Vocabulary of Egocentric Actions NeurIPS 2023 OpenPI-C: A Better Benchmark and Stronger Baseline for Open-Vocabulary State Tracking ACL 2023 Open Problem: Is There a First-Order Method that Only Converges to Local Minimax Optima? COLT 2023 OpenScene: 3D Scene Understanding With Open Vocabularies CVPR 2023 Open-Set Fine-Grained Retrieval via Prompting Vision-Language Evaluator CVPR 2023 Open Set Relation Extraction via Unknown-Aware Training ACL 2023 Open-Set Representation Learning Through Combinatorial Embedding CVPR 2023 Open-Set Semantic Segmentation for Point Clouds via Adversarial Prototype Framework CVPR 2023 OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding NeurIPS 2023