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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'25
Papers (including subtopics)
ESSEN: Improving Evolution State Estimation for Temporal Networks using Von Neumann Entropy
NeurIPS 2023
Ess-InfoGAIL: Semi-supervised Imitation Learning from Imbalanced Demonstrations
NeurIPS 2023
Establishing Trustworthiness: Rethinking Tasks and Model Evaluation
EMNLP 2023
Estimating Average Causal Effects from Patient Trajectories
AAAI 2023
Estimating Causal Effects Identifiable from a Combination of Observations and Experiments
NeurIPS 2023
Estimating Causal Effects using a Multi-task Deep Ensemble
ICML 2023
Estimating Conditional Average Treatment Effects with Missing Treatment Information
AISTATS 2023
Estimating Geographic Spillover Effects of COVID-19 Policies from Large-Scale Mobility Networks
AAAI 2023
Estimating Heterogeneous Treatment Effects: Mutual Information Bounds and Learning Algorithms
ICML 2023
Estimating individual treatment effects under unobserved confounding using binary instruments
ICLR 2023
Estimating Joint Treatment Effects by Combining Multiple Experiments
ICML 2023
Estimating long-term causal effects from short-term experiments and long-term observational data with unobserved confounding
CLeaR 2023
Estimating Numbers without Regression
EACL 2023
Estimating Possible Causal Effects with Latent Variables via Adjustment
ICML 2023
Estimating Propensity for Causality-based Recommendation without Exposure Data
NeurIPS 2023
Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model
JMLR 2023
Estimating the Uncertainty in Emotion Attributes using Deep Evidential Regression
ACL 2023
Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders
AAAI 2023
Estimation Beyond Data Reweighting: Kernel Method of Moments
ICML 2023
Estimation of Counterfactual Interventions under Uncertainties
ACML 2023
Estimation of Listening Response Timing by Generative Model and Parameter Control of Response Substantialness Using Dynamic-Prompt-Tune
Interspeech 2023
Estimator Meets Equilibrium Perspective: A Rectified Straight Through Estimator for Binary Neural Networks Training
ICCV 2023
e-THERAPIST: I suggest you to cultivate a mindset of positivity and nurture uplifting thoughts
EMNLP 2023
Ethical By Designer - How to Grow Ethical Designers of Artificial Intelligence (Extended Abstract)
IJCAI 2023
Ethical Considerations for Machine Translation of Indigenous Languages: Giving a Voice to the Speakers
ACL 2023