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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)

Improving Accuracy and Generalization for Efficient Visual Tracking WACV 2025 Improving Adversarial Transferability on Vision Transformers via Forward Propagation Refinement CVPR 2025 Improving Adversarial Transferability via Decision Boundary Adaptation UAI 2025 Improving AI assistants embedded in short e-learning courses with limited textual content ACL 2025 Improving Audio Classification by Transitioning from Zero- to Few-Shot Interspeech 2025 Improving Autoregressive Visual Generation with Cluster-Oriented Token Prediction CVPR 2025 Improving Clustering with Positive Pairs Generated from LLM-Driven Labels EMNLP 2025 Improving Context Fidelity via Native Retrieval-Augmented Reasoning EMNLP 2025 Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization ACL 2025 Improving Continual Learning Performance and Efficiency with Auxiliary Classifiers ICML 2025 Improving Continual Pre-training Through Seamless Data Packing ACL 2025 Improving Deep Learning Speed and Performance Through Synaptic Neural Balance AAAI 2025 Improving Deep Regression with Tightness ICLR 2025 Improving Editability in Image Generation with Layer-wise Memory CVPR 2025 Improving End-to-end Mixed-case ASR with Knowledge Distillation and Integration of Voice Activity Cues Interspeech 2025 Improving Factuality in Large Language Models via Decoding-Time Hallucinatory and Truthful Comparators AAAI 2025 Improving Factuality with Explicit Working Memory ACL 2025 Improving Faithfulness of Text-to-Image Diffusion Models through Inference Intervention WACV 2025 Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization AAAI 2025 Improving Graph Contrastive Learning with Community Structure UAI 2025 Improving In-context Learning Example Retrieval for Classroom Discussion Assessment with Re-ranking and Label Ratio Regulation ACL 2025 Improving Integrated Gradient-based Transferable Adversarial Examples by Refining the Integration Path AAAI 2025 Improving Language and Modality Transfer in Translation by Character-level Modeling ACL 2025 Improving Large Language Model Safety with Contrastive Representation Learning EMNLP 2025 Improving Low-Resource Dialect Classification Using Retrieval-based Voice Conversion Interspeech 2025