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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
'5
'10
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'25

Papers (including subtopics)

Proximity-Informed Calibration for Deep Neural Networks NeurIPS 2023 PruMUX: Augmenting Data Multiplexing with Model Compression ACL 2023 Prune Spatio-temporal Tokens by Semantic-aware Temporal Accumulation ICCV 2023 Pruning Deep Neural Networks from a Sparsity Perspective ICLR 2023 Pruning Pre-trained Language Models Without Fine-Tuning ACL 2023 Pruning Pre-trained Language Models with Principled Importance and Self-regularization ACL 2023 Pruning vs Quantization: Which is Better? NeurIPS 2023 Pseudo Flow Consistency for Self-Supervised 6D Object Pose Estimation ICCV 2023 Pseudointelligence: A Unifying Lens on Language Model Evaluation EMNLP 2023 Pseudo-label Training and Model Inertia in Neural Machine Translation ICLR 2023 Pseudonorm Approachability and Applications to Regret Minimization ALT 2023 Pseudo-Siamese Network based Timbre-reserved Black-box Adversarial Attack in Speaker Identification Interspeech 2023 PsyAttention: Psychological Attention Model for Personality Detection EMNLP 2023 PTUK-HULAT at ArAIEval Shared Task Fine-tuned Distilbert to Predict Disinformative Tweets EMNLP 2023 PubMedCLIP: How Much Does CLIP Benefit Visual Question Answering in the Medical Domain? EACL 2023 PUe: Biased Positive-Unlabeled Learning Enhancement by Causal Inference NeurIPS 2023 PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning NeurIPS 2023 PuMer: Pruning and Merging Tokens for Efficient Vision Language Models ACL 2023 Punctuation-level Attack: Single-shot and Single Punctuation Can Fool Text Models NeurIPS 2023 Purifier: Defending Data Inference Attacks via Transforming Confidence Scores AAAI 2023 Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play ICLR 2023 Pushing the Limits of Fairness in Algorithmic Decision-Making IJCAI 2023 Push Past Green: Learning to Look Behind Plant Foliage by Moving It CoRL 2023 Putting Natural in Natural Language Processing ACL 2023 PVT++: A Simple End-to-End Latency-Aware Visual Tracking Framework ICCV 2023