inference time

AMLB: an AutoML Benchmark JMLR 2024 Conditional Language Policy: A General Framework For Steerable Multi-Objective Finetuning EMNLP 2024 David helps Goliath: Inference-Time Collaboration Between Small Specialized and Large General Diffusion LMs NAACL 2024 Mixture of Nested Experts: Adaptive Processing of Visual Tokens NeurIPS 2024 Overload: Latency Attacks on Object Detection for Edge Devices CVPR 2024 Plug-in Language Model: Controlling Text Generation with a Simple Regression Model NAACL 2024 Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs ICLR 2024 Towards Fast Multilingual LLM Inference: Speculative Decoding and Specialized Drafters EMNLP 2024 Understanding the Impact of Introducing Constraints at Inference Time on Generalization Error ICML 2024 Data Minimization at Inference Time NeurIPS 2023 DFPC: Data flow driven pruning of coupled channels without data. ICLR 2023 Extremely Simple Activation Shaping for Out-of-Distribution Detection ICLR 2023 Findings of the WMT 2023 Shared Task on Machine Translation with Terminologies EMNLP 2023 FSR: A General Frequency-Oriented Framework to Accelerate Image Super-resolution Networks AAAI 2023 IMBERT: Making BERT Immune to Insertion-based Backdoor Attacks ACL 2023 Memorization Capacity of Neural Networks with Conditional Computation ICLR 2023 Robust Perception through Equivariance ICML 2023 Active Few-Shot Learning for Sound Event Detection Interspeech 2022 Anytime Learning of Sum-Product and Sum-Product-Max Networks PGM 2022 Conformal Predictor for Improving Zero-Shot Text Classification Efficiency EMNLP 2022 Effective Model Sparsification by Scheduled Grow-and-Prune Methods ICLR 2022 Fast Vocabulary Transfer for Language Model Compression EMNLP 2022 Optimal channel selection with discrete QCQP AISTATS 2022 ZeroC: A Neuro-Symbolic Model for Zero-shot Concept Recognition and Acquisition at Inference Time NeurIPS 2022 Attention Head Masking for Inference Time Content Selection in Abstractive Summarization NAACL 2021