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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)

All You Need is Attention: Lightweight Attention-based Data Augmentation for Text Classification EMNLP 2024 ALMol: Aligned Language-Molecule Translation LLMs through Offline Preference Contrastive Optimisation ACL 2024 Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in Dynamical Systems Reconstruction NeurIPS 2024 AltDiffusion: A Multilingual Text-to-Image Diffusion Model AAAI 2024 Altogether: Image Captioning via Re-aligning Alt-text EMNLP 2024 AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers NeurIPS 2024 AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents ICLR 2024 A Mechanistic Analysis of a Transformer Trained on a Symbolic Multi-Step Reasoning Task ACL 2024 A Metalearned Neural Circuit for Nonparametric Bayesian Inference NeurIPS 2024 AMG-AVSR: Adaptive Modality Guidance for Audio-Visual Speech Recognition via Progressive Feature Enhancement ACML 2024 Amnesia as a Catalyst for Enhancing Black Box Pixel Attacks in Image Classification and Object Detection NeurIPS 2024 AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment NeurIPS 2024 Amortized Equation Discovery in Hybrid Dynamical Systems ICML 2024 Amortized Network Intervention to Steer the Excitatory Point Processes ICLR 2024 Amortizing intractable inference in diffusion models for vision, language, and control NeurIPS 2024 AM-RADIO: Agglomerative Vision Foundation Model Reduce All Domains Into One CVPR 2024 A Multi-Faceted NLP Analysis of Misinformation Spreaders in Twitter ACL 2024 A Multimodal Automated Interpretability Agent ICML 2024 A Multimodal Benchmark and Improved Architecture for Zero Shot Learning WACV 2024 A Multimodal, Multi-Task Adapting Framework for Video Action Recognition AAAI 2024 A Multi-Perspective Analysis of Memorization in Large Language Models EMNLP 2024 A Multi-task Framework with Enhanced Hierarchical Attention for Sentiment Analysis on Classical Chinese Poetry: Utilizing Information from Short Lines EMNLP 2024 AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning CVPR 2024 ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models NeurIPS 2024 Analysing The Impact of Sequence Composition on Language Model Pre-Training ACL 2024