conftrace_

Application Areas

34,437 papers (4 classified directly here)

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

Domain Adaptation (9,897) Efficient Computing (8,226) Data Augmentation (3,648) Fairness (3,574) Knowledge Distillation (3,219) Privacy (3,022) Domain Generalization (1,972) Model Compression (1,736) Risk Management (1,119) Model Merging (592) Recommender Systems (343) Information Retrieval (249) Text Classification (144) Text Processing (2)

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Papers (including subtopics)

Inclusive ASR for Disfluent Speech: Cascaded Large-Scale Self-Supervised Learning with Targeted Fine-Tuning and Data Augmentation Interspeech 2024 IncomeSCM: From tabular data set to time-series simulator and causal estimation benchmark NeurIPS 2024 In-Context Example Ordering Guided by Label Distributions NAACL 2024 Incorporating Geo-Diverse Knowledge into Prompting for Increased Geographical Robustness in Object Recognition CVPR 2024 Incorporating Serverless Computing into P2P Networks for ML Training: In-Database Tasks and Their Scalability Implications (Student Abstract) AAAI 2024 Incorporating Syntax and Lexical Knowledge to Multilingual Sentiment Classification on Large Language Models ACL 2024 Increasing information for model predictive control with semi-Markov decision processes L4DC 2024 Increasing the Difficulty of Automatically Generated Questions via Reinforcement Learning with Synthetic Preference for Cost-Effective Cultural Heritage Dataset Generation EMNLP 2024 Incremental Nuclei Segmentation from Histopathological Images via Future-class Awareness and Compatibility-inspired Distillation CVPR 2024 Incremental pre-training from smaller language models ACL 2024 Incremental Sequence Labeling: A Tale of Two Shifts ACL 2024 In Defense of Structural Sparse Adapters for Concurrent LLM Serving EMNLP 2024 IndiBias: A Benchmark Dataset to Measure Social Biases in Language Models for Indian Context NAACL 2024 IndicVoices-R: Unlocking a Massive Multilingual Multi-speaker Speech Corpus for Scaling Indian TTS NeurIPS 2024 IndirectQA: Understanding Indirect Answers to Implicit Polar Questions in French and Spanish COLING 2024 In-distribution Public Data Synthesis with Diffusion Models for Differentially Private Image Classification CVPR 2024 Individual Fairness under Group Fairness Constraints in Bipartite Matching - One Framework to Approximate Them All IJCAI 2024 Indoor Air Quality Dataset with Activities of Daily Living in Low to Middle-income Communities NeurIPS 2024 Induced Model Matching: Restricted Models Help Train Full-Featured Models NeurIPS 2024 INDUS: Effective and Efficient Language Models for Scientific Applications 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 InferCept: Efficient Intercept Support for Augmented Large Language Model Inference ICML 2024 Inference-Time Decontamination: Reusing Leaked Benchmarks for Large Language Model Evaluation EMNLP 2024 Inference-Time Language Model Alignment via Integrated Value Guidance EMNLP 2024