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)

Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization ICML 2024 Causal Mode Multiplexer: A Novel Framework for Unbiased Multispectral Pedestrian Detection CVPR 2024 Causal Optimal Transport of Abstractions CLeaR 2024 CausalPC: Improving the Robustness of Point Cloud Classification by Causal Effect Identification CVPR 2024 Causal Representation Learning from Multiple Distributions: A General Setting ICML 2024 Causal Subgraphs and Information Bottlenecks: Redefining OOD Robustness in Graph Neural Networks ECCV 2024 CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery ICLR 2024 CAUSE: Counterfactual Assessment of User Satisfaction Estimation in Task-Oriented Dialogue Systems ACL 2024 CBBQ: A Chinese Bias Benchmark Dataset Curated with Human-AI Collaboration for Large Language Models COLING 2024 CCSum: A Large-Scale and High-Quality Dataset for Abstractive News Summarization NAACL 2024 CELI: Simple yet Effective Approach to Enhance Out-of-Domain Generalization of Cross-Encoders. NAACL 2024 CemiFace: Center-based Semi-hard Synthetic Face Generation for Face Recognition NeurIPS 2024 CE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search Framework NeurIPS 2024 Centrality-aware Product Retrieval and Ranking EMNLP 2024 Centroid-Based Efficient Minimum Bayes Risk Decoding ACL 2024 Certifiably Byzantine-Robust Federated Conformal Prediction ICML 2024 Certified Machine Unlearning via Noisy Stochastic Gradient Descent NeurIPS 2024 Certified private data release for sparse Lipschitz functions AISTATS 2024 Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing NeurIPS 2024 CFPL-FAS: Class Free Prompt Learning for Generalizable Face Anti-spoofing CVPR 2024 CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion CVPR 2024 CHAI: Clustered Head Attention for Efficient LLM Inference ICML 2024 CHAIN: Enhancing Generalization in Data-Efficient GANs via lipsCHitz continuity constrAIned Normalization CVPR 2024 Chain of Hindsight aligns Language Models with Feedback ICLR 2024 Challenging Negative Gender Stereotypes: A Study on the Effectiveness of Automated Counter-Stereotypes COLING 2024