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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)

CamoFA: A Learnable Fourier-Based Augmentation for Camouflage Segmentation WACV 2025 CAMSIC: Content-aware Masked Image Modeling Transformer for Stereo Image Compression AAAI 2025 Can Explicit Gender Information Improve Zero-Shot Machine Translation? ACL 2025 Can External Validation Tools Improve Annotation Quality for LLM-as-a-Judge? ACL 2025 Can Generative Models Improve Self-Supervised Representation Learning? AAAI 2025 Can Generative Video Models Help Pose Estimation? CVPR 2025 Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision? ACL 2025 Can GRPO Boost Complex Multimodal Table Understanding? EMNLP 2025 Can Indirect Prompt Injection Attacks Be Detected and Removed? ACL 2025 Can Language Models Capture Human Writing Preferences for Domain-Specific Text Summarization? ACL 2025 Can Large Language Models Act as Ensembler for Multi-GNNs? EMNLP 2025 Can Large Language Models Personalize Dialogues to Generational Styles? EMNLP 2025 Can LLMs Deceive CLIP? Benchmarking Adversarial Compositionality of Pre-trained Multimodal Representation via Text Updates ACL 2025 Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data? ACL 2025 Can Prompting LLMs Unlock Hate Speech Detection across Languages? A Zero-shot and Few-shot Study ACL 2025 Can Stories Help LLMs Reason? Curating Information Space Through Narrative ACL 2025 Can Students Beyond the Teacher? Distilling Knowledge from Teacher’s Bias AAAI 2025 Can Text-to-Video Generation help Video-Language Alignment? CVPR 2025 Can't Slow Me Down: Learning Robust and Hardware-Adaptive Object Detectors against Latency Attacks for Edge Devices CVPR 2025 Can Vision-Language Models Evaluate Handwritten Math? ACL 2025 Can Vision Language Models Understand Mimed Actions? ACL 2025 Can VLMs Actually See and Read? A Survey on Modality Collapse in Vision-Language Models ACL 2025 Can VLMs Recall Factual Associations From Visual References? EMNLP 2025 Can We Achieve Efficient Diffusion Without Self-Attention? Distilling Self-Attention into Convolutions ICCV 2025 Can We Predict Performance of Large Models across Vision-Language Tasks? ICML 2025