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)
To Repeat or Not To Repeat: Insights from Scaling LLM under Token-Crisis
NeurIPS 2023
TORE: Token Reduction for Efficient Human Mesh Recovery with Transformer
ICCV 2023
To Revise or Not to Revise: Learning to Detect Improvable Claims for Argumentative Writing Support
ACL 2023
To the Noise and Back: Diffusion for Shared Autonomy
RSS 2023
TOT:Topology-Aware Optimal Transport for Multimodal Hate Detection
AAAI 2023
ToViLaG: Your Visual-Language Generative Model is Also An Evildoer
EMNLP 2023
Toward Accurate Post-Training Quantization for Image Super Resolution
CVPR 2023
Toward a Perspectivist Turn in Ground Truthing for Predictive Computing
AAAI 2023
Toward Building General Foundation Models for Language, Vision, and Vision-Language Understanding Tasks
EMNLP 2023
Toward Consistent and Informative Event-Event Temporal Relation Extraction
ACL 2023
Toward Cultural Bias Evaluation Datasets: The Case of Bengali Gender, Religious, and National Identity
EACL 2023
Toward Fairness in Text Generation via Mutual Information Minimization based on Importance Sampling
AISTATS 2023
Toward Human-Like Evaluation for Natural Language Generation with Error Analysis
ACL 2023
Toward Human Readable Prompt Tuning: Kubrick’s The Shining is a good movie, and a good prompt too?
EMNLP 2023
Toward Interactive Dictation
ACL 2023
Toward Joint Language Modeling for Speech Units and Text
EMNLP 2023
Toward Multi-Granularity Decision-Making: Explicit Visual Reasoning with Hierarchical Knowledge
ICCV 2023
Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 Detection
AAAI 2023
Toward Robust Uncertainty Estimation with Random Activation Functions
AAAI 2023
Towards a Better Understanding of Learning with Multiagent Teams
IJCAI 2023
Towards Accurate Video Text Spotting with Text-wise Semantic Reasoning
IJCAI 2023
Towards a Common Understanding of Contributing Factors for Cross-Lingual Transfer in Multilingual Language Models: A Review
ACL 2023
Towards a Deep Understanding of Multilingual End-to-End Speech Translation
EMNLP 2023
Towards a fuller understanding of neurons with Clustered Compositional Explanations
NeurIPS 2023
Towards A Holistic Landscape of Situated Theory of Mind in Large Language Models
EMNLP 2023