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)
Free Lunch in Pathology Foundation Model: Task-specific Model Adaptation with Concept-Guided Feature Enhancement
NeurIPS 2024
Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning
NeurIPS 2024
Free your mouse! Command Large Language Models to Generate Code to Format Word Documents
EMNLP 2024
FrenchToxicityPrompts: a Large Benchmark for Evaluating and Mitigating Toxicity in French Texts
COLING 2024
Frequency Explains the Inverse Correlation of Large Language Models’ Size, Training Data Amount, and Surprisal’s Fit to Reading Times
EACL 2024
Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector
AAAI 2024
FRoG: Evaluating Fuzzy Reasoning of Generalized Quantifiers in LLMs
EMNLP 2024
Frogs into princes: A generative model to understand the success of product descriptions
COLING 2024
From 2D to 3D: AISG-SLA Visual Localization Challenge
IJCAI 2024
From Audio to Photoreal Embodiment: Synthesizing Humans in Conversations
CVPR 2024
From Biased Selective Labels to Pseudo-Labels: An Expectation-Maximization Framework for Learning from Biased Decisions
ICML 2024
From Bottom to Top: Extending the Potential of Parameter Efficient Fine-Tuning
EMNLP 2024
From Chaos to Calibration: A Geometric Mutual Information Approach To Target-Free Camera LiDAR Extrinsic Calibration
WACV 2024
From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large Language Models
EMNLP 2024
From Consumers to Critical Users: Prompty, an AI Literacy Tool for High School Students
AAAI 2024
From Correspondences to Pose: Non-minimal Certifiably Optimal Relative Pose without Disambiguation
CVPR 2024
From Descriptive Richness to Bias: Unveiling the Dark Side of Generative Image Caption Enrichment
EMNLP 2024
From Discrimination to Generation: Low-Resource Intent Detection with Language Model Instruction Tuning
ACL 2024
From Generalization Analysis to Optimization Designs for State Space Models
ICML 2024
From Generation to Selection: Findings of Converting Analogical Problem-Solving into Multiple-Choice Questions
EMNLP 2024
From Geometry to Causality- Ricci Curvature and the Reliability of Causal Inference on Networks
ICML 2024
From Good to Great: Improving Math Reasoning with Tool-Augmented Interleaf Prompting
ACL 2024
From Graphs to Hypergraphs: Hypergraph Projection and its Reconstruction
ICLR 2024
From Hate Speech to Societal Empowerment: A Pedagogical Journey Through Computational Thinking and NLP for High School Students
ACL 2024
From Hope to Safety: Unlearning Biases of Deep Models via Gradient Penalization in Latent Space
AAAI 2024