Core AI
68,645 papers (13 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Multimodal Learning (14,926)
Large Language Models (9,515)
Interpretability (8,292)
Foundation Models (5,277)
Agent Systems (4,710)
Causal Inference (3,958)
Multi-Agent Systems (3,842)
AI Safety (3,602)
Planning (3,482)
Reasoning (3,360)
Human-AI Interaction (2,465)
Model Compression (2,258)
Natural Language Processing (2,186)
Responsible AI (2,130)
Computer Vision (1,901)
Game AI (1,846)
Reinforcement Learning (1,698)
Adversarial Learning (1,500)
Autonomous Vehicles (1,488)
Language (1,345)
Fairness (1,279)
Game Theory (1,129)
Robotics (1,087)
Dialogue Systems (1,066)
Efficient Computing (956)
Vision-Language Models (928)
Knowledge Graph (735)
Procedural Generation (709)
Trajectory Prediction (676)
Evaluation (655)
Privacy (617)
Natural Language Generation (573)
Information Retrieval (541)
Memory (526)
Decision Making (480)
Safety (474)
Knowledge Representation (409)
Knowledge (386)
Information Extraction (378)
Speech Processing (310)
Knowledge Graphs (282)
Security (256)
Uncertainty Quantification (246)
Representation Learning (239)
Retrieval-Augmented Generation (225)
Knowledge Editing (200)
Question Answering (199)
Attention (198)
Robustness (186)
Knowledge Distillation (185)
Code Generation (168)
Explainability (142)
Brain-Computer Interface (141)
Neural Networks (136)
Anomaly Detection (132)
Automated Reasoning (84)
Natural Language Understanding (81)
Multi-Lingual Learning (79)
Education (64)
Machine Translation (57)
Learning Paradigms (57)
Speech Recognition (55)
Risk Management (51)
Visual Question Answering (49)
Communication (35)
Motion Analysis (32)
Natural Language Inference (29)
Sentiment Analysis (19)
Representation (17)
Papers per year
1
4
10
1
11
82
89
98
89
99
120
153
269
217
273
416
1,053
1,809
3,137
4,063
4,997
5,940
7,896
12,509
17,181
8,128
2000
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Papers (including subtopics)
Enhancing Healthcare Predictions with Deep Learning Models
AAAI 2024
Enhancing High-order Interaction Awareness in LLM-based Recommender Model
EMNLP 2024
Enhancing Human-AI Collaboration Through Logic-Guided Reasoning
ICLR 2024
Enhancing Human Experience in Human-Agent Collaboration: A Human-Centered Modeling Approach Based on Positive Human Gain
ICLR 2024
Enhancing Hyperbolic Knowledge Graph Embeddings via Lorentz Transformations
ACL 2024
Enhancing Image-to-Text Generation in Radiology Reports through Cross-modal Multi-Task Learning
COLING 2024
Enhancing In-Context Learning Performance with just SVD-Based Weight Pruning: A Theoretical Perspective
NeurIPS 2024
Enhancing Intrinsic Features for Debiasing via Investigating Class-Discerning Common Attributes in Bias-Contrastive Pair
CVPR 2024
Enhancing Language Model Alignment: A Confidence-Based Approach to Label Smoothing
EMNLP 2024
Enhancing Language Model Factuality via Activation-Based Confidence Calibration and Guided Decoding
EMNLP 2024
Enhancing Large Language Model Based Sequential Recommender Systems with Pseudo Labels Reconstruction
EMNLP 2024
Enhancing Large Language Models Against Inductive Instructions with Dual-critique Prompting
NAACL 2024
Enhancing Large Language Models in Coding Through Multi-Perspective Self-Consistency
ACL 2024
Enhancing Large Language Models through Transforming Reasoning Problems into Classification Tasks
COLING 2024
Enhancing Large Vision Language Models with Self-Training on Image Comprehension
NeurIPS 2024
Enhancing Learning-Based Binary Code Similarity Detection Model through Adversarial Training with Multiple Function Variants
EMNLP 2024
Enhancing Legal Case Retrieval via Scaling High-quality Synthetic Query-Candidate Pairs
EMNLP 2024
Enhancing Legal Violation Identification with LLMs and Deep Learning Techniques: Achievements in the LegalLens 2024 Competition
EMNLP 2024
Enhancing LLM Capabilities Beyond Scaling Up
EMNLP 2024
Enhancing LLM Reasoning via Vision-Augmented Prompting
NeurIPS 2024
Enhancing Modal Fusion by Alignment and Label Matching for Multimodal Emotion Recognition
Interspeech 2024
Enhancing Motion in Text-to-Video Generation with Decomposed Encoding and Conditioning
NeurIPS 2024
Enhancing Multilingual Capabilities of Large Language Models through Self-Distillation from Resource-Rich Languages
ACL 2024
Enhancing Multilingual Voice Toxicity Detection with Speech-Text Alignment
Interspeech 2024
Enhancing Multimodal Compositional Reasoning of Visual Language Models With Generative Negative Mining
WACV 2024