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Core AI

68,645 papers (13 classified directly here)

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)
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Papers (including subtopics)

Preference Transformer: Modeling Human Preferences using Transformers for RL ICLR 2023 Prefix Propagation: Parameter-Efficient Tuning for Long Sequences ACL 2023 Preprocessors Matter! Realistic Decision-Based Attacks on Machine Learning Systems ICML 2023 PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models ACL 2023 Pre-RMSNorm and Pre-CRMSNorm Transformers: Equivalent and Efficient Pre-LN Transformers NeurIPS 2023 Preserving Commonsense Knowledge from Pre-trained Language Models via Causal Inference ACL 2023 Preserving Modality Structure Improves Multi-Modal Learning ICCV 2023 Preserving Pre-trained Features Helps Calibrate Fine-tuned Language Models ICLR 2023 Preserving Privacy Through Dememorization: An Unlearning Technique For Mitigating Memorization Risks In Language Models EMNLP 2023 Preserving Structural Consistency in Arbitrary Artist and Artwork Style Transfer AAAI 2023 Preserving the Authenticity of Handwritten Learner Language: Annotation Guidelines for Creating Transcripts Retaining Orthographic Features ACL 2023 PreSTU: Pre-Training for Scene-Text Understanding ICCV 2023 Pre-Trained Language-Meaning Models for Multilingual Parsing and Generation ACL 2023 Pretrained Language Models as Visual Planners for Human Assistance ICCV 2023 Pre-trained Language Model with Prompts for Temporal Knowledge Graph Completion ACL 2023 Pre-trained Speech Processing Models Contain Human-Like Biases that Propagate to Speech Emotion Recognition EMNLP 2023 Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning NeurIPS 2023 Pre-Training for Robots: Offline RL Enables Learning New Tasks in a Handful of Trials RSS 2023 Pre-training for Speech Translation: CTC Meets Optimal Transport ICML 2023 Pretraining Language Models with Human Preferences ICML 2023 Pre-training Multi-party Dialogue Models with Latent Discourse Inference ACL 2023 Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction NeurIPS 2023 Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression NeurIPS 2023 Pre-Training to Learn in Context ACL 2023 Pricing Experimental Design: Causal Effect, Expected Revenue and Tail Risk ICML 2023