Skip to content
conftrace_

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
11
99
273
4,063
17,181
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

CausalDialogue: Modeling Utterance-level Causality in Conversations ACL 2023 Causal Discovery for Non-stationary Non-linear Time Series Data Using Just-In-Time Modeling CLeaR 2023 Causal discovery from observational and interventional data across multiple environments NeurIPS 2023 Causal Discovery from Subsampled Time Series with Proxy Variables NeurIPS 2023 Causal Discovery with Latent Confounders Based on Higher-Order Cumulants ICML 2023 Causal Discovery with Score Matching on Additive Models with Arbitrary Noise CLeaR 2023 Causal Discovery with Unobserved Confounding and Non-Gaussian Data JMLR 2023 Causal Document-Grounded Dialogue Pre-training EMNLP 2023 Causal effect estimation from observational and interventional data through matrix weighted linear estimators UAI 2023 Causal Effect Identification in Cluster DAGs AAAI 2023 Causal Effect Identification in Uncertain Causal Networks NeurIPS 2023 Causal Effect Regularization: Automated Detection and Removal of Spurious Correlations NeurIPS 2023 Causal Entropy Optimization AISTATS 2023 Causal Estimation for Text Data with (Apparent) Overlap Violations ICLR 2023 Causal Fairness for Outcome Control NeurIPS 2023 Causal Imitability Under Context-Specific Independence Relations NeurIPS 2023 Causal Imitation Learning via Inverse Reinforcement Learning ICLR 2023 Causal Inference from Text: Unveiling Interactions between Variables EMNLP 2023 Causal Inference under Interference and Model Uncertainty CLeaR 2023 Causal Inference with Conditional Instruments Using Deep Generative Models AAAI 2023 Causal information splitting: Engineering proxy features for robustness to distribution shifts UAI 2023 Causal Interpretation of Self-Attention in Pre-Trained Transformers NeurIPS 2023 Causal Intervention and Counterfactual Reasoning for Multi-modal Fake News Detection ACL 2023 Causal Intervention-based Few-Shot Named Entity Recognition EMNLP 2023 Causal Intervention for Abstractive Related Work Generation EMNLP 2023