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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)

Imitator: Personalized Speech-driven 3D Facial Animation ICCV 2023 Impact of Adversarial Training on Robustness and Generalizability of Language Models ACL 2023 Impact of Co-occurrence on Factual Knowledge of Large Language Models EMNLP 2023 impact of sample selection on in-context learning for entity extraction from scientific writing EMNLP 2023 Imperceptible Adversarial Attack via Invertible Neural Networks AAAI 2023 IMP: Iterative Matching and Pose Estimation With Adaptive Pooling CVPR 2023 Implementing Bounded Revision via Lexicographic Revision and C-revision AAAI 2023 Implications of Annotation Artifacts in Edge Probing Test Datasets CoNLL 2023 Implicit Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis NeurIPS 2023 Implicit Identity Leakage: The Stumbling Block to Improving Deepfake Detection Generalization CVPR 2023 Implicit Neural Head Synthesis via Controllable Local Deformation Fields CVPR 2023 Implicit Temporal Modeling with Learnable Alignment for Video Recognition ICCV 2023 Implicit Temporal Reasoning for Evidence-Based Fact-Checking EACL 2023 Importance-aware Co-teaching for Offline Model-based Optimization NeurIPS 2023 Importance Weighted Actor-Critic for Optimal Conservative Offline Reinforcement Learning NeurIPS 2023 ImPosing: Implicit Pose Encoding for Efficient Visual Localization WACV 2023 IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI NeurIPS 2023 Im-Promptu: In-Context Composition from Image Prompts NeurIPS 2023 Improved Bayes Risk Can Yield Reduced Social Welfare Under Competition NeurIPS 2023 Improved Contextualized Speech Representations for Tonal Analysis Interspeech 2023 Improved DeepFake Detection Using Whisper Features Interspeech 2023 Improved Instruction Ordering in Recipe-Grounded Conversation ACL 2023 Improved Logical Reasoning of Language Models via Differentiable Symbolic Programming ACL 2023 Improved multi-site Parkinson’s disease classification using neuroimaging data with counterfactual inference MIDL 2023 Improved Online Learning Algorithms for CTR Prediction in Ad Auctions ICML 2023