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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)

Invisible Backdoor Attack against Self-supervised Learning CVPR 2025 IPO: Your Language Model is Secretly a Preference Classifier ACL 2025 Iron Sharpens Iron: Defending Against Attacks in Machine-Generated Text Detection with Adversarial Training ACL 2025 IRSum: One Model to Rule Summarization and Retrieval ACL 2025 ISACL: Internal State Analyzer for Copyrighted Training Data Leakage EMNLP 2025 Is CLIP ideal? No. Can we fix it? Yes! ICCV 2025 I-SEE: An Instruction-tuned, SOP-Enhanced Quality Evaluator for Product Content EMNLP 2025 iShumei-Chinchunmei at SemEval-2025 Task 4: A balanced forgetting and retention multi-task framework using effective unlearning loss SemEval 2025 Is Less More? Exploring Token Condensation as Training-free Test-time Adaptation ICCV 2025 Is linguistically-motivated data augmentation worth it? ACL 2025 Is Lunch Free Yet? Overcoming the Cold-Start Problem in Supervised Content Scoring using Zero-Shot LLM-Generated Training Data ACL 2025 Is `Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning CVPR 2025 Is Synthetic Data Truly Effective for Training Speech Language Models? Interspeech 2025 Is That Your Final Answer? Test-Time Scaling Improves Selective Question Answering ACL 2025 Is this Generated Person Existed in Real-world? Fine-grained Detecting and Calibrating Abnormal Human-body CVPR 2025 Is Your Autonomous Vehicle Safe? Understanding the Threat of Electromagnetic Signal Injection Attacks on Traffic Scene Perception AAAI 2025 Is Your Image a Good Storyteller? AAAI 2025 Is your model big enough? Training and interpreting large-scale monolingual speech foundation models Interspeech 2025 iTBLS: A Dataset of Interactive Conversations Over Tabular Information ACL 2025 Iterative Multilingual Spectral Attribute Erasure EMNLP 2025 Iterative Refinement, Not Training Objective, Makes HuBERT Behave Differently from wav2vec 2.0 Interspeech 2025 Iterative Self-Training with Class-Aware Text-to-Image Synthesis for Visual Task Learning AAAI 2025 Iterative Sparse Attention for Long-sequence Recommendation AAAI 2025 IteRPrimE: Zero-shot Referring Image Segmentation with Iterative Grad-CAM Refinement and Primary Word Emphasis AAAI 2025 ITF-NLP at SemEval-2025 Task 11 An Exploration of English and German Multi-label Emotion Detection using Fine-tuned Transformer Models SemEval 2025