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)

Papers per year

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1,828

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Papers (including subtopics)

Exploiting CLIP for Zero-Shot HOI Detection Requires Knowledge Distillation at Multiple Levels WACV 2024 Exploiting Descriptive Completeness Prior for Cross Modal Hashing with Incomplete Labels NeurIPS 2024 Exploiting Diffusion Prior for Generalizable Dense Prediction CVPR 2024 Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation CVPR 2024 Exploiting Label Skews in Federated Learning with Model Concatenation AAAI 2024 Exploiting LLM Quantization NeurIPS 2024 Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training AAAI 2024 Exploiting Target Language Data for Neural Machine Translation Beyond Back Translation ACL 2024 Explore Spurious Correlations at the Concept Level in Language Models for Text Classification ACL 2024 Exploring Active Learning in Meta-Learning: Enhancing Context Set Labeling ECCV 2024 Exploring adaptation techniques of large speech foundation models for low-resource ASR: a case study on Northern Sámi Interspeech 2024 Exploring Automated Distractor Generation for Math Multiple-choice Questions via Large Language Models NAACL 2024 Exploring Compositional Generalization of Large Language Models NAACL 2024 Exploring compressibility of transformer based text-to-music (TTM) models Interspeech 2024 Exploring Conditional Multi-Modal Prompts for Zero-shot HOI Detection ECCV 2024 Exploring Cross-Cultural Differences in English Hate Speech Annotations: From Dataset Construction to Analysis NAACL 2024 Exploring Data Augmentation in Neural DRS-to-Text Generation EACL 2024 Exploring Domain Robust Lightweight Reward Models based on Router Mechanism ACL 2024 Exploring Efficient Asymmetric Blind-Spots for Self-Supervised Denoising in Real-World Scenarios CVPR 2024 Exploring Energy-Based Models for Out-of-Distribution Detection in Dialect Identification Interspeech 2024 Exploring Inherent Biases in LLMs within Korean Social Context: A Comparative Analysis of ChatGPT and GPT-4 NAACL 2024 Exploring Intrinsic Language-specific Subspaces in Fine-tuning Multilingual Neural Machine Translation EMNLP 2024 Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations AAAI 2024 Exploring Learngene via Stage-wise Weight Sharing for Initializing Variable-sized Models IJCAI 2024 Exploring Memorization in Fine-tuned Language Models ACL 2024