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)

In-Context Compositional Generalization for Large Vision-Language Models EMNLP 2024 In-Context Matting CVPR 2024 Incorporating Syntax and Lexical Knowledge to Multilingual Sentiment Classification on Large Language Models ACL 2024 Incorporating Word Count Information into Depression Risk Summary Generation: INF@UoS CLPsych 2024 Submission EACL 2024 Incremental Residual Concept Bottleneck Models CVPR 2024 In Defense of Structural Sparse Adapters for Concurrent LLM Serving EMNLP 2024 INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness NeurIPS 2024 In-distribution Public Data Synthesis with Diffusion Models for Differentially Private Image Classification CVPR 2024 Inductive-Deductive Strategy Reuse for Multi-Turn Instructional Dialogues EMNLP 2024 Inevitable Trade-off between Watermark Strength and Speculative Sampling Efficiency for Language Models NeurIPS 2024 Inf-DiT: Upsampling any-resolution image with memory-efficient diffusion transformer. ECCV 2024 Inference and Verbalization Functions During In-Context Learning EMNLP 2024 Inference-Time Decontamination: Reusing Leaked Benchmarks for Large Language Model Evaluation EMNLP 2024 InfiMM: Advancing Multimodal Understanding with an Open-Sourced Visual Language Model ACL 2024 Infinite-Dimensional Diffusion Models JMLR 2024 Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models NeurIPS 2024 Initialization of Large Language Models via Reparameterization to Mitigate Loss Spikes EMNLP 2024 InitNO: Boosting Text-to-Image Diffusion Models via Initial Noise Optimization CVPR 2024 Inner Classifier-Free Guidance and Its Taylor Expansion for Diffusion Models ICLR 2024 In-N-Out: Faithful 3D GAN Inversion with Volumetric Decomposition for Face Editing CVPR 2024 In-N-Out: Lifting 2D Diffusion Prior for 3D Object Removal via Tuning-Free Latents Alignment NeurIPS 2024 Insect-Foundation: A Foundation Model and Large-scale 1M Dataset for Visual Insect Understanding CVPR 2024 Insights into LLM Long-Context Failures: When Transformers Know but Don’t Tell EMNLP 2024 InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation ICLR 2024 InstaGen: Enhancing Object Detection by Training on Synthetic Dataset CVPR 2024