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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)

Progressive Rendering Distillation: Adapting Stable Diffusion for Instant Text-to-Mesh Generation without 3D Data CVPR 2025 Progressive Test Time Energy Adaptation for Medical Image Segmentation ICCV 2025 ProKeR: A Kernel Perspective on Few-Shot Adaptation of Large Vision-Language Models CVPR 2025 ProLongVid: A Simple but Strong Baseline for Long-context Video Instruction Tuning EMNLP 2025 ProMALex: Progressive Modular Adapters for Multi-Jurisdictional Legal Language Modeling ACL 2025 ProMedTS: A Self-Supervised, Prompt-Guided Multimodal Approach for Integrating Medical Text and Time Series ACL 2025 Promoting Knowledge Base Question Answering by Directing LLMs to Generate Task-relevant Logical Forms AAAI 2025 Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning AAAI 2025 Promptable Representation Distribution Learning and Data Augmentation for Gigapixel Histopathology WSI Analysis AAAI 2025 Prompt as Knowledge Bank: Boost Vision-language model via Structural Representation for zero-shot medical detection ICLR 2025 Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation ACL 2025 PromptEVC: Controllable Emotional Voice Conversion with Natural Language Prompts Interspeech 2025 Prompt Guidance and Human Proximal Perception for HOT Prediction with Regional Joint Loss ICCV 2025 Prompt-Guided Augmentation and Multi-modal Fusion for Argumentative Fallacy Classification in Political Debates ACL 2025 PromptHaze: Prompting Real-world Dehazing via Depth Anything Model AAAI 2025 PromptHMR: Promptable Human Mesh Recovery CVPR 2025 Prompting Large Language Models for Italian Clinical Reports: A Benchmark Study ACL 2025 Prompting Metaphoricity: Soft Labeling with Large Language Models in Popular Communication of Science Tweets in Spanish ACL 2025 Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages ACL 2025 Prompt Tuning Can Simply Adapt Large Language Models to Text Encoders NAACL 2025 PROPER: A Progressive Learning Framework for Personalized Large Language Models with Group-Level Adaptation ACL 2025 ProReason: Multi-Modal Proactive Reasoning with Decoupled Eyesight and Wisdom EMNLP 2025 Prosodically Enhanced Foreign Accent Simulation by Discrete Token-based Resynthesis Only with Native Speech Corpora Interspeech 2025 Prosodic Structure Beyond Lexical Content: A Study of Self-Supervised Learning Interspeech 2025 Prosody-Adaptable Audio Codecs for Zero-Shot Voice Conversion via In-Context Learning Interspeech 2025