Deep Learning

“In-Dialogues We Learn”: Towards Personalized Dialogue Without Pre-defined Profiles through In-Dialogue Learning EMNLP 2024 IndicFinNLP: Financial Natural Language Processing for Indian Languages COLING 2024 IndicLLMSuite: A Blueprint for Creating Pre-training and Fine-Tuning Datasets for Indian Languages ACL 2024 INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness NeurIPS 2024 IndicVoices-R: Unlocking a Massive Multilingual Multi-speaker Speech Corpus for Scaling Indian TTS NeurIPS 2024 Indirectly Parameterized Concrete Autoencoders ICML 2024 In-distribution Public Data Synthesis with Diffusion Models for Differentially Private Image Classification CVPR 2024 Individuation in Neural Models with and without Visual Grounding EMNLP 2024 Induced Model Matching: Restricted Models Help Train Full-Featured Models NeurIPS 2024 Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs AAAI 2024 Inductive-Deductive Strategy Reuse for Multi-Turn Instructional Dialogues EMNLP 2024 Inductive Knowledge Graph Completion with GNNs and Rules: An Analysis COLING 2024 INDUS: Effective and Efficient Language Models for Scientific Applications EMNLP 2024 Industry vs Academia: Running a Course on Transformers in Two Setups ACL 2024 Inevitable Trade-off between Watermark Strength and Speculative Sampling Efficiency for Language Models NeurIPS 2024 InfantCryNet: A Data-driven Framework for Intelligent Analysis of Infant Cries ACML 2024 Inf-DiT: Upsampling any-resolution image with memory-efficient diffusion transformer. ECCV 2024 InferAligner: Inference-Time Alignment for Harmlessness through Cross-Model Guidance EMNLP 2024 Inference and Verbalization Functions During In-Context Learning EMNLP 2024 Inference Helps PLMs’ Conceptual Understanding: Improving the Abstract Inference Ability with Hierarchical Conceptual Entailment Graphs EMNLP 2024 Inference of Neural Dynamics Using Switching Recurrent Neural Networks NeurIPS 2024 Inference-Time Decontamination: Reusing Leaked Benchmarks for Large Language Model Evaluation EMNLP 2024 Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference NeurIPS 2024 Inferring Iterated Function Systems Approximately from Fractal Images IJCAI 2024 Inferring Neural Signed Distance Functions by Overfitting on Single Noisy Point Clouds through Finetuning Data-Driven based Priors NeurIPS 2024