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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)

C3Net: Compound Conditioned ControlNet for Multimodal Content Generation CVPR 2024 CableInspect-AD: An Expert-Annotated Anomaly Detection Dataset NeurIPS 2024 CACL: Community-Aware Heterogeneous Graph Contrastive Learning for Social Media Bot Detection ACL 2024 CAD: Photorealistic 3D Generation via Adversarial Distillation CVPR 2024 CAD-SIGNet: CAD Language Inference from Point Clouds using Layer-wise Sketch Instance Guided Attention CVPR 2024 CALANet: Cheap All-Layer Aggregation for Human Activity Recognition NeurIPS 2024 Calibrated Self-Rewarding Vision Language Models NeurIPS 2024 CaLM: Contrasting Large and Small Language Models to Verify Grounded Generation ACL 2024 CALVIN: Improved Contextual Video Captioning via Instruction Tuning NeurIPS 2024 CAM Back Again: Large Kernel CNNs from a Weakly Supervised Object Localization Perspective CVPR 2024 Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs NeurIPS 2024 CAMEL: Capturing Metaphorical Alignment with Context Disentangling for Multimodal Emotion Recognition AAAI 2024 CAMEL: CAusal Motion Enhancement Tailored for Lifting Text-driven Video Editing CVPR 2024 Camera-Independent Single Image Depth Estimation From Defocus Blur WACV 2024 CaMML: Context-Aware Multimodal Learner for Large Models ACL 2024 Can Active Label Correction Improve LLM-based Modular AI Systems? EMNLP 2024 Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with Unlabeled Data ICML 2024 Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach NeurIPS 2024 Can I Trust Your Answer? Visually Grounded Video Question Answering CVPR 2024 Can Large Language Models Follow Concept Annotation Guidelines? A Case Study on Scientific and Financial Domains ACL 2024 Can Large Language Models Understand Context? EACL 2024 Can LLMs Augment Low-Resource Reading Comprehension Datasets? Opportunities and Challenges ACL 2024 Can LLMs get help from other LLMs without revealing private information? ACL 2024 Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study NeurIPS 2024 Can LLMs Reason in the Wild with Programs? EMNLP 2024