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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
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Papers (including subtopics)

Catastrophic Goodhart: regularizing RLHF with KL divergence does not mitigate heavy-tailed reward misspecification NeurIPS 2024 Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation ICLR 2024 CaT-Bench: Benchmarking Language Model Understanding of Causal and Temporal Dependencies in Plans EMNLP 2024 Catch Me If You GPT: Tutorial on Deepfake Texts NAACL 2024 Categorical Flow Matching on Statistical Manifolds NeurIPS 2024 Categorical Syllogisms Revisited: A Review of the Logical Reasoning Abilities of LLMs for Analyzing Categorical Syllogisms EMNLP 2024 CatmullRom Splines-Based Regression for Image Forgery Localization AAAI 2024 CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation CVPR 2024 CauDiTS: Causal Disentangled Domain Adaptation of Multivariate Time Series ICML 2024 Causal Action Influence Aware Counterfactual Data Augmentation ICML 2024 Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces AAAI 2024 Causal Analysis for Robust Interpretability of Neural Networks WACV 2024 Causal and Temporal Inference in Visual Question Generation by Utilizing Pre-trained Models ACL 2024 Causal ATE Mitigates Unintended Bias in Controlled Text Generation CoNLL 2024 Causal ATTention Multiple Instance Learning for Whole Slide Image Classification ACML 2024 Causal Bandits: The Pareto Optimal Frontier of Adaptivity, a Reduction to Linear Bandits, and Limitations around Unknown Marginals ICML 2024 Causal Bandits with General Causal Models and Interventions AISTATS 2024 CausalBench: A Comprehensive Benchmark for Evaluating Causal Reasoning Capabilities of Large Language Models ACL 2024 CausalChaos! Dataset for Comprehensive Causal Action Question Answering Over Longer Causal Chains Grounded in Dynamic Visual Scenes NeurIPS 2024 CausalCite: A Causal Formulation of Paper Citations ACL 2024 Causal-CoG: A Causal-Effect Look at Context Generation for Boosting Multi-modal Language Models CVPR 2024 Causal Contrastive Learning for Counterfactual Regression Over Time NeurIPS 2024 Causal Dependence Plots NeurIPS 2024 Causal Discovery from Event Sequences by Local Cause-Effect Attribution NeurIPS 2024 Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis AAAI 2024