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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)

Triple Eagle: Simple, Fast and Practical Budget-Feasible Mechanisms NeurIPS 2023 Triplet-Free Knowledge-Guided Response Generation ACL 2023 TriVol: Point Cloud Rendering via Triple Volumes CVPR 2023 trlX: A Framework for Large Scale Reinforcement Learning from Human Feedback EMNLP 2023 TRM-UAP: Enhancing the Transferability of Data-Free Universal Adversarial Perturbation via Truncated Ratio Maximization ICCV 2023 TrojanSQL: SQL Injection against Natural Language Interface to Database EMNLP 2023 TrojDiff: Trojan Attacks on Diffusion Models With Diverse Targets CVPR 2023 TrojLLM: A Black-box Trojan Prompt Attack on Large Language Models NeurIPS 2023 TrojText: Test-time Invisible Textual Trojan Insertion ICLR 2023 Trompt: Towards a Better Deep Neural Network for Tabular Data ICML 2023 TR-Rules: Rule-based Model for Link Forecasting on Temporal Knowledge Graph Considering Temporal Redundancy EMNLP 2023 True Detective: A Deep Abductive Reasoning Benchmark Undoable for GPT-3 and Challenging for GPT-4 ACL 2023 TruFor: Leveraging All-Round Clues for Trustworthy Image Forgery Detection and Localization CVPR 2023 Truncating Trajectories in Monte Carlo Reinforcement Learning ICML 2023 Trust Your $\nabla$: Gradient-based Intervention Targeting for Causal Discovery NeurIPS 2023 Truthful Auctions for Automated Bidding in Online Advertising IJCAI 2023 Truthful Fair Mechanisms for Allocating Mixed Divisible and Indivisible Goods IJCAI 2023 Truthful Mechanisms for Steiner Tree Problems AAAI 2023 Truthful Self-Play ICLR 2023 T-SEA: Transfer-Based Self-Ensemble Attack on Object Detection CVPR 2023 TSTR: Target Similarity Tuning Meets the Real World EMNLP 2023 TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation CVPR 2023 Tumor Budding T-cell Graphs: Assessing the Need for Resection in pT1 Colorectal Cancer Patients MIDL 2023 Tunable Soft Prompts are Messengers in Federated Learning EMNLP 2023 Tuna: Instruction Tuning using Feedback from Large Language Models EMNLP 2023