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Learning Types

56,253 papers (3 classified directly here)

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)
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Papers (including subtopics)

BUFFER-X: Towards Zero-Shot Point Cloud Registration in Diverse Scenes ICCV 2025 Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud COLING 2025 Building a Functional Machine Translation Corpus for Kpelle ACL 2025 Building a Long Text Privacy Policy Corpus with Multi-Class Labels ACL 2025 Building a Multi-modal Spatiotemporal Expert for Zero-shot Action Recognition with CLIP AAAI 2025 Building A Proof-Oriented Programmer That Is 64% Better Than GPT-4o Under Data Scarcity ACL 2025 Building Conformal Prediction Intervals with Approximate Message Passing UAI 2025 Building Japanese Creativity Benchmarks and Applying them to Enhance LLM Creativity ACL 2025 Building, Reusing, and Generalizing Abstract Representations from Concrete Sequences ICLR 2025 BullyBench: Youth & Experts-in-the-loop Framework for Intrinsic and Extrinsic Cyberbullying NLP Benchmarking EMNLP 2025 Butterfly Effects in Toolchains: A Comprehensive Analysis of Failed Parameter Filling in LLM Tool-Agent Systems EMNLP 2025 BVSLP: Machine Translation Using Linguistic Embellishments for IndicMT Shared Task 2025 EMNLP 2025 BYOKG-RAG: Multi-Strategy Graph Retrieval for Knowledge Graph Question Answering EMNLP 2025 Bypassing LLM Guardrails: An Empirical Analysis of Evasion Attacks against Prompt Injection and Jailbreak Detection Systems ACL 2025 byteSizedLLM@NLU of Devanagari Script Languages 2025: Hate Speech Detection and Target Identification Using Customized Attention BiLSTM and XLM-RoBERTa Base Embeddings COLING 2025 byteSizedLLM@NLU of Devanagari Script Languages 2025: Language Identification Using Customized Attention BiLSTM and XLM-RoBERTa base Embeddings COLING 2025 C2F-TP: A Coarse-to-Fine Denoising Framework for Uncertainty-Aware Trajectory Prediction AAAI 2025 C2LEVA: Toward Comprehensive and Contamination-Free Language Model Evaluation ACL 2025 C2MIL: Synchronizing Semantic and Topological Causalities in Multiple Instance Learning for Robust and Interpretable Survival Analysis ICCV 2025 C2PD: Continuity-Constrained Pixelwise Deformation for Guided Depth Super-Resolution AAAI 2025 C3: A Bilingual Benchmark for Spoken Dialogue Models Exploring Challenges in Complex Conversations EMNLP 2025 C3oT: Generating Shorter Chain-of-Thought Without Compromising Effectiveness AAAI 2025 CA2C: A Prior-Knowledge-Free Approach for Robust Label Noise Learning via Asymmetric Co-learning and Co-training ICCV 2025 CA*: Addressing Evaluation Pitfalls in Computation-Aware Latency for Simultaneous Speech Translation NAACL 2025 CAARMA: Class Augmentation with Adversarial Mixup Regularization EMNLP 2025