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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)

Are U a Joke Master? Pun Generation via Multi-Stage Curriculum Learning towards a Humor LLM ACL 2024 Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections NeurIPS 2024 ArMeme: Propagandistic Content in Arabic Memes EMNLP 2024 ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual Learning ICLR 2024 A Robust Dual-debiasing VQA Model based on Counterfactual Causal Effect EMNLP 2024 ArtAdapter: Text-to-Image Style Transfer using Multi-Level Style Encoder and Explicit Adaptation CVPR 2024 ART: Automatic Red-teaming for Text-to-Image Models to Protect Benign Users NeurIPS 2024 Artemis: Towards Referential Understanding in Complex Videos NeurIPS 2024 Artificial Generational Intelligence: Cultural Accumulation in Reinforcement Learning NeurIPS 2024 ArtPrompt: ASCII Art-based Jailbreak Attacks against Aligned LLMs ACL 2024 ARTrackV2: Prompting Autoregressive Tracker Where to Look and How to Describe CVPR 2024 Arxiv Copilot: A Self-Evolving and Efficient LLM System for Personalized Academic Assistance EMNLP 2024 A sampling theory perspective on activations for implicit neural representations ICML 2024 A Score-Based Deterministic Diffusion Algorithm with Smooth Scores for General Distributions AAAI 2024 A Semi-supervised Nighttime Dehazing Baseline with Spatial-Frequency Aware and Realistic Brightness Constraint CVPR 2024 A Separation and Alignment Framework for Black-Box Domain Adaptation AAAI 2024 A Sequential Learning-Based Approach for Monocular Human Performance Capture WACV 2024 AS-ES Learning: Towards efficient CoT learning in small models ACL 2024 ASETF: A Novel Method for Jailbreak Attack on LLMs through Translate Suffix Embeddings EMNLP 2024 ASH: Animatable Gaussian Splats for Efficient and Photoreal Human Rendering CVPR 2024 A Simple and Yet Fairly Effective Defense for Graph Neural Networks AAAI 2024 A Simple but Effective Approach to Improve Structured Language Model Output for Information Extraction EMNLP 2024 A Simple Image Segmentation Framework via In-Context Examples NeurIPS 2024 A Simple Recipe for Contrastively Pre-training Video-First Encoders Beyond 16 Frames CVPR 2024 A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective NeurIPS 2024