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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)

Bias Detection in Media: Traditional Models vs. Transformers in Analyzing Social Media Coverage of the Israeli-Gaza Conflict COLING 2025 Bias in Gender Bias Benchmarks: How Spurious Features Distort Evaluation ICCV 2025 Bias Unveiled: Investigating Social Bias in LLM-Generated Code AAAI 2025 Bidirectional Decoding: Improving Action Chunking via Guided Test-Time Sampling ICLR 2025 Bidirectional Logits Tree: Pursuing Granularity Reconcilement in Fine-Grained Classification AAAI 2025 Bi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck AAAI 2025 Bidirectional Multi-Step Domain Generalization for Visible-Infrared Person Re-Identification WACV 2025 Bidirectional Spoken-Written Text Conversion with Large Language Models Interspeech 2025 Bidirectional Topic Matching: Quantifying Thematic Intersections Between Climate Change and Climate Mitigation News Corpora Through Topic Modelling ACL 2025 BIG5-CHAT: Shaping LLM Personalities Through Training on Human-Grounded Data ACL 2025 BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks ICLR 2025 Big Escape Benchmark: Evaluating Human-Like Reasoning in Language Models via Real-World Escape Room Challenges ACL 2025 BIG-FUSION: Brain-Inspired Global-Local Context Fusion Framework for Multimodal Emotion Recognition in Conversations AAAI 2025 Bi-Level Optimization for Semi-Supervised Learning with Pseudo-Labeling AAAI 2025 BiMAC: Bidirectional Multimodal Alignment in Contrastive Learning AAAI 2025 BiM-VFI: Bidirectional Motion Field-Guided Frame Interpolation for Video with Non-uniform Motions CVPR 2025 Binary Classifier Optimization for Large Language Model Alignment ACL 2025 Biologically-Constrained Multi-Label Classification with Learnable Domain Knowledge MIDL 2025 BiomedCoOp: Learning to Prompt for Biomedical Vision-Language Models CVPR 2025 BIP3D: Bridging 2D Images and 3D Perception for Embodied Intelligence CVPR 2025 Bisimulation Metric for Model Predictive Control ICLR 2025 Black-Box Forgery Attacks on Semantic Watermarks for Diffusion Models CVPR 2025 BLADE: Enhancing Black-Box Large Language Models with Small Domain-Specific Models AAAI 2025 BLEND: Behavior-guided Neural Population Dynamics Modeling via Privileged Knowledge Distillation ICLR 2025 Blend the Separated: Mixture of Synergistic Experts for Data-Scarcity Drug-Target Interaction Prediction AAAI 2025