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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)

Beyond instruction-conditioning, MoTE: Mixture of Task Experts for Multi-task Embedding Models ACL 2025 Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection UAI 2025 Beyond Log-Concavity and Score Regularity: Improved Convergence Bounds for Score-Based Generative Models in W2-distance ICML 2025 Beyond Logits: Aligning Feature Dynamics for Effective Knowledge Distillation ACL 2025 Beyond Losses Reweighting: Empowering Multi-Task Learning via the Generalization Perspective ICCV 2025 Beyond Matryoshka: Revisiting Sparse Coding for Adaptive Representation ICML 2025 Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generation ICCV 2025 Beyond Online Sampling: Bridging Offline-to-Online Alignment via Dynamic Data Transformation for LLMs EMNLP 2025 Beyond Output Matching: Bidirectional Alignment for Enhanced In-Context Learning ACL 2025 Beyond Pixel and Object: Part Feature as Reference for Few-Shot Video Object Segmentation AAAI 2025 Beyond Position: the emergence of wavelet-like properties in Transformers ACL 2025 Beyond Prompt Engineering: A Reinforced Token-Level Input Refinement for Large Language Models AAAI 2025 Beyond Sequence: Impact of Geometric Context for RNA Property Prediction ICLR 2025 Beyond Sequences: Two-dimensional Representation and Dependency Encoding for Code Generation ACL 2025 Beyond Sight: Towards Cognitive Alignment in LVLM via Enriched Visual Knowledge CVPR 2025 Beyond Single Emotion: Multi-label Approach to Conversational Emotion Recognition AAAI 2025 Beyond Single Frames: Can LMMs Comprehend Implicit Narratives in Comic Strip? EMNLP 2025 Beyond Single-Modal Boundary: Cross-Modal Anomaly Detection through Visual Prototype and Harmonization CVPR 2025 Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation EMNLP 2025 Beyond the Leaderboard: Understanding Performance Disparities in Large Language Models via Model Diffing EMNLP 2025 Beyond the Mode: Sequence-Level Distillation of Multilingual Translation Models for Low-Resource Language Pairs NAACL 2025 Beyond UDA: Examining Temporal and Frequency Representations in Time Series Transfer ACML 2025 Beyond Virtual Points: Depth-Enhanced LiDAR-only 3D Object Detection with Semi-Supervised Learning (Student Abstract) AAAI 2025 Beyond Words: Multilingual and Multimodal Red Teaming of MLLMs ACL 2025 Bias Attribution in Filipino Language Models: Extending a Bias Interpretability Metric for Application on Agglutinative Languages ACL 2025