Deep Learning

Invariant and Equivariant Reynolds Networks JMLR 2024 Invariant Physics-Informed Neural Networks for Ordinary Differential Equations JMLR 2024 Invariant Risk Minimization Is A Total Variation Model ICML 2024 Inverse Approximation Theory for Nonlinear Recurrent Neural Networks ICLR 2024 Inverse Factorized Soft Q-Learning for Cooperative Multi-agent Imitation Learning NeurIPS 2024 Inverse-Q*: Token Level Reinforcement Learning for Aligning Large Language Models Without Preference Data EMNLP 2024 Inverse Rendering of Glossy Objects via the Neural Plenoptic Function and Radiance Fields CVPR 2024 Inverse Weight-Balancing for Deep Long-Tailed Learning AAAI 2024 Inversion-Free Image Editing with Language-Guided Diffusion Models CVPR 2024 InversionView: A General-Purpose Method for Reading Information from Neural Activations NeurIPS 2024 Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 Steps NeurIPS 2024 Investigating and Mitigating Object Hallucinations in Pretrained Vision-Language (CLIP) Models EMNLP 2024 Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models ACL 2024 Investigating Aspect Features in Contextualized Embeddings with Semantic Scales and Distributional Similarity NAACL 2024 Investigating grammatical abstraction in language models using few-shot learning of novel noun gender EACL 2024 Investigating Large Language Models for Complex Word Identification in Multilingual and Multidomain Setups EMNLP 2024 Investigating LLMs as Voting Assistants via Contextual Augmentation: A Case Study on the European Parliament Elections 2024 EMNLP 2024 Investigating Multilingual Instruction-Tuning: Do Polyglot Models Demand for Multilingual Instructions? EMNLP 2024 Investigating Mysteries of CoT-Augmented Distillation EMNLP 2024 Investigating self-supervised speech models' ability to classify animal vocalizations: The case of gibbon's vocal signatures Interspeech 2024 Investigating the Impact of Different Graph Representations for Relation Extraction with Graph Neural Networks COLING 2024 Investigating the Impact of Model Width and Density on Generalization in Presence of Label Noise UAI 2024 Investigating the Role of Instruction Variety and Task Difficulty in Robotic Manipulation Tasks EMNLP 2024 Investigating Wit, Creativity, and Detectability of Large Language Models in Domain-Specific Writing Style Adaptation of Reddit’s Showerthoughts NAACL 2024 Investigation into Training Dynamics of Learned Optimizers (Student Abstract) AAAI 2024