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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)

Closing the Gap: Achieving Better Accuracy-Robustness Tradeoffs against Query-Based Attacks AAAI 2024 Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View. ICLR 2024 Cloud Object Detector Adaptation by Integrating Different Source Knowledge NeurIPS 2024 CLOVA: A Closed-LOop Visual Assistant with Tool Usage and Update CVPR 2024 Clustering for Protein Representation Learning CVPR 2024 Cluster-Learngene: Inheriting Adaptive Clusters for Vision Transformers NeurIPS 2024 Cluster-Norm for Unsupervised Probing of Knowledge EMNLP 2024 CMDA: Cross-Modal and Domain Adversarial Adaptation for LiDAR-Based 3D Object Detection AAAI 2024 CMD: a framework for Context-aware Model self-Detoxification EMNLP 2024 CMDL: A Large-Scale Chinese Multi-Defendant Legal Judgment Prediction Dataset ACL 2024 CMoralEval: A Moral Evaluation Benchmark for Chinese Large Language Models ACL 2024 CNC-Net: Self-Supervised Learning for CNC Machining Operations CVPR 2024 CNEQ: Incorporating numbers into Knowledge Graph Reasoning EMNLP 2024 CNN Kernels Can Be the Best Shapelets ICLR 2024 Coarse-to-Fine Generative Model for Oracle Bone Inscriptions Inpainting ACL 2024 Coconut: Contextualized Commonsense Unified Transformers for Graph-Based Commonsense Augmentation of Language Models ACL 2024 CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges ACL 2024 CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion ACL 2024 CodeFort: Robust Training for Code Generation Models EMNLP 2024 CodeJudge: Evaluating Code Generation with Large Language Models EMNLP 2024 Code Prompting Elicits Conditional Reasoning Abilities in Text+Code LLMs EMNLP 2024 CoDi-2: In-Context Interleaved and Interactive Any-to-Any Generation CVPR 2024 CoDi: Conditional Diffusion Distillation for Higher-Fidelity and Faster Image Generation CVPR 2024 CoEvol: Constructing Better Responses for Instruction Finetuning through Multi-Agent Cooperation EMNLP 2024 Coffee-Gym: An Environment for Evaluating and Improving Natural Language Feedback on Erroneous Code EMNLP 2024