conftrace_

Models

20,488 papers (23 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Generative Models (8,597) Diffusion Models (6,478) Large Language Models (2,815) Variational Inference (2,186) Vision-Language Models (839) Language Models (763) Foundation Models (330) Language Modeling (92) Variational Autoencoders (67) Neural Radiance Fields (46) Sequence-to-Sequence (42) Variational Autoencoder (24)

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Papers (including subtopics)

DATS: Difficulty-Aware Task Sampler for Meta-Learning Physics-Informed Neural Networks ICLR 2024 David helps Goliath: Inference-Time Collaboration Between Small Specialized and Large General Diffusion LMs NAACL 2024 DB-LLM: Accurate Dual-Binarization for Efficient LLMs ACL 2024 D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models NeurIPS 2024 DDDM-VC: Decoupled Denoising Diffusion Models with Disentangled Representation and Prior Mixup for Verified Robust Voice Conversion AAAI 2024 DDMI: Domain-agnostic Latent Diffusion Models for Synthesizing High-Quality Implicit Neural Representations ICLR 2024 DEADiff: An Efficient Stylization Diffusion Model with Disentangled Representations CVPR 2024 Dealing with Synthetic Data Contamination in Online Continual Learning NeurIPS 2024 DeBaRA: Denoising-Based 3D Room Arrangement Generation NeurIPS 2024 Debate as Optimization: Adaptive Conformal Prediction and Diverse Retrieval for Event Extraction EMNLP 2024 Debiasing Synthetic Data Generated by Deep Generative Models NeurIPS 2024 Deblur-NSFF: Neural Scene Flow Fields for Blurry Dynamic Scenes WACV 2024 DebugBench: Evaluating Debugging Capability of Large Language Models ACL 2024 Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step by Step ACL 2024 Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation AAAI 2024 Deciphering Digital Detectives: Understanding LLM Behaviors and Capabilities in Multi-Agent Mystery Games ACL 2024 Deciphering Oracle Bone Language with Diffusion Models ACL 2024 Deciphering the Impact of Pretraining Data on Large Language Models through Machine Unlearning ACL 2024 Deciphering the Interplay of Parametric and Non-parametric Memory in Retrieval-augmented Language Models EMNLP 2024 Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling NeurIPS 2024 DeCoDEx: Confounder Detector Guidance for Improved Diffusion-based Counterfactual Explanations MIDL 2024 Decoding Matters: Addressing Amplification Bias and Homogeneity Issue in Recommendations for Large Language Models EMNLP 2024 DecompOpt: Controllable and Decomposed Diffusion Models for Structure-based Molecular Optimization ICLR 2024 Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems ICLR 2024 Decomposing Disease Descriptions for Enhanced Pathology Detection: A Multi-Aspect Vision-Language Pre-training Framework CVPR 2024